Download The Data Science Course 2022: Complete Data Science Bootcamp Torrent

Torrent Contents Size: 7.79 GB

The Data Science Course 2022: Complete Data Science Bootcamp

▼ show more 1402 files

01 - Part 1_ Introduction

001 A Practical Example_ What You Will Learn in This Course.mp4	MP4	13.08 MB
001 A Practical Example_ What You Will Learn in This Course__en.srt	SRT	6.41 KB
002 What Does the Course Cover.mp4	MP4	49.69 MB
002 What Does the Course Cover__en.srt	SRT	5.1 KB
003 Download All Resources and Important FAQ.html	HTML	21.36 KB
16507136-FAQ-The-Data-Science-Course.pdf	PDF	306.1 KB
external-assets-links.txt	TXT	101 B

02 - The Field of Data Science - The Various Data Science Disciplines

001 Data Science and Business Buzzwords_ Why are there so Many_.mp4	MP4	54.72 MB
001 Data Science and Business Buzzwords_ Why are there so Many___en.srt	SRT	6.77 KB
002 What is the difference between Analysis and Analytics.mp4	MP4	8.01 MB
002 What is the difference between Analysis and Analytics__en.srt	SRT	5.03 KB
003 Business Analytics, Data Analytics, and Data Science_ An Introduction.mp4	MP4	49.96 MB
003 Business Analytics, Data Analytics, and Data Science_ An Introduction__en.srt	SRT	11 KB
004 Continuing with BI, ML, and AI.mp4	MP4	35.94 MB
004 Continuing with BI, ML, and AI__en.srt	SRT	11.96 KB
005 A Breakdown of our Data Science Infographic.mp4	MP4	33.95 MB
005 A Breakdown of our Data Science Infographic__en.srt	SRT	5.21 KB
13075156-365-DataScience-Diagram.pdf	PDF	323.08 KB
13075162-365-DataScience-Diagram.pdf	PDF	323.08 KB
13075166-365-DataScience.png	PNG	6.92 MB
13075168-365-DataScience.png	PNG	6.92 MB

03 - The Field of Data Science - Connecting the Data Science Disciplines

	001 Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4	MP4	21.73 MB
	001 Applying Traditional Data, Big Data, BI, Traditional Data Science and ML__en.srt	SRT	9.14 KB

04 - The Field of Data Science - The Benefits of Each Discipline

	001 The Reason Behind These Disciplines.mp4	MP4	12.41 MB
	001 The Reason Behind These Disciplines__en.srt	SRT	6.56 KB

05 - The Field of Data Science - Popular Data Science Techniques

001 Techniques for Working with Traditional Data.mp4	MP4	105.52 MB
001 Techniques for Working with Traditional Data__en.srt	SRT	10.7 KB
002 Real Life Examples of Traditional Data.mp4	MP4	13.92 MB
002 Real Life Examples of Traditional Data__en.srt	SRT	2.22 KB
003 Techniques for Working with Big Data.mp4	MP4	60.48 MB
003 Techniques for Working with Big Data__en.srt	SRT	5.74 KB
004 Real Life Examples of Big Data.mp4	MP4	4.21 MB
004 Real Life Examples of Big Data__en.srt	SRT	1.9 KB
005 Business Intelligence (BI) Techniques.mp4	MP4	51.34 MB
005 Business Intelligence (BI) Techniques__en.srt	SRT	8.92 KB
006 Real Life Examples of Business Intelligence (BI).mp4	MP4	19.35 MB
006 Real Life Examples of Business Intelligence (BI)__en.srt	SRT	2.14 KB
007 Techniques for Working with Traditional Methods.mp4	MP4	74.75 MB
007 Techniques for Working with Traditional Methods__en.srt	SRT	11.32 KB
008 Real Life Examples of Traditional Methods.mp4	MP4	21.17 MB
008 Real Life Examples of Traditional Methods__en.srt	SRT	3.53 KB
009 Machine Learning (ML) Techniques.mp4	MP4	47.78 MB
009 Machine Learning (ML) Techniques__en.srt	SRT	8.94 KB
010 Types of Machine Learning.mp4	MP4	61.78 MB
010 Types of Machine Learning__en.srt	SRT	10.46 KB
011 Real Life Examples of Machine Learning (ML).mp4	MP4	22.44 MB
011 Real Life Examples of Machine Learning (ML)__en.srt	SRT	2.96 KB

06 - The Field of Data Science - Popular Data Science Tools

	001 Necessary Programming Languages and Software Used in Data Science.mp4	MP4	19.54 MB
	001 Necessary Programming Languages and Software Used in Data Science__en.srt	SRT	7.35 KB

07 - The Field of Data Science - Careers in Data Science

	001 Finding the Job - What to Expect and What to Look for.mp4	MP4	9.48 MB
	001 Finding the Job - What to Expect and What to Look for__en.srt	SRT	4.34 KB

08 - The Field of Data Science - Debunking Common Misconceptions

	001 Debunking Common Misconceptions.mp4	MP4	16.43 MB
	001 Debunking Common Misconceptions__en.srt	SRT	5.43 KB

09 - Part 2_ Probability

001 The Basic Probability Formula.mp4	MP4	29.13 MB
001 The Basic Probability Formula__en.srt	SRT	9.04 KB
002 Computing Expected Values.mp4	MP4	29.24 MB
002 Computing Expected Values__en.srt	SRT	6.71 KB
003 Frequency.mp4	MP4	36.39 MB
003 Frequency__en.srt	SRT	6.28 KB
004 Events and Their Complements.mp4	MP4	11.4 MB
004 Events and Their Complements__en.srt	SRT	7.16 KB
17431614-Course-Notes-Basic-Probability.pdf	PDF	371.05 KB

10 - Probability - Combinatorics

001 Fundamentals of Combinatorics.mp4	MP4	3.21 MB
001 Fundamentals of Combinatorics__en.srt	SRT	1.35 KB
002 Permutations and How to Use Them.mp4	MP4	13.97 MB
002 Permutations and How to Use Them__en.srt	SRT	4.24 KB
003 Simple Operations with Factorials.mp4	MP4	13.98 MB
003 Simple Operations with Factorials__en.srt	SRT	3.56 KB
004 Solving Variations with Repetition.mp4	MP4	13.75 MB
004 Solving Variations with Repetition__en.srt	SRT	3.64 KB
005 Solving Variations without Repetition.mp4	MP4	14.76 MB
005 Solving Variations without Repetition__en.srt	SRT	4.74 KB
006 Solving Combinations.mp4	MP4	18.99 MB
006 Solving Combinations__en.srt	SRT	5.72 KB
007 Symmetry of Combinations.mp4	MP4	13.51 MB
007 Symmetry of Combinations__en.srt	SRT	4.22 KB
008 Solving Combinations with Separate Sample Spaces.mp4	MP4	12.87 MB
008 Solving Combinations with Separate Sample Spaces__en.srt	SRT	3.81 KB
009 Combinatorics in Real-Life_ The Lottery.mp4	MP4	16.16 MB
009 Combinatorics in Real-Life_ The Lottery__en.srt	SRT	4.16 KB
010 A Recap of Combinatorics.mp4	MP4	12 MB
010 A Recap of Combinatorics__en.srt	SRT	3.72 KB
011 A Practical Example of Combinatorics.mp4	MP4	42.24 MB
011 A Practical Example of Combinatorics__en.srt	SRT	14.09 KB
17431618-Course-Notes-Combinatorics.pdf	PDF	226.12 KB
17431624-Symmetry-Explained.pdf	PDF	85.04 KB
17550452-Combinations-With-Repetition.pdf	PDF	207.41 KB
17756226-Additional-Exercises-Combinatorics.pdf	PDF	106.58 KB
19540858-Additional-Exercises-Combinatorics-Solutions.pdf	PDF	245.67 KB

11 - Probability - Bayesian Inference

001 Sets and Events.mp4	MP4	17.44 MB
001 Sets and Events__en.srt	SRT	5.37 KB
002 Ways Sets Can Interact.mp4	MP4	19.02 MB
002 Ways Sets Can Interact__en.srt	SRT	4.4 KB
003 Intersection of Sets.mp4	MP4	8.78 MB
003 Intersection of Sets__en.srt	SRT	2.49 KB
004 Union of Sets.mp4	MP4	19.47 MB
004 Union of Sets__en.srt	SRT	6.08 KB
005 Mutually Exclusive Sets.mp4	MP4	5.25 MB
005 Mutually Exclusive Sets__en.srt	SRT	2.65 KB
006 Dependence and Independence of Sets.mp4	MP4	11.98 MB
006 Dependence and Independence of Sets__en.srt	SRT	3.46 KB
007 The Conditional Probability Formula.mp4	MP4	16.33 MB
007 The Conditional Probability Formula__en.srt	SRT	5.27 KB
008 The Law of Total Probability.mp4	MP4	11.39 MB
008 The Law of Total Probability__en.srt	SRT	3.38 KB
009 The Additive Rule.mp4	MP4	10.89 MB
009 The Additive Rule__en.srt	SRT	2.79 KB
010 The Multiplication Law.mp4	MP4	19.8 MB
010 The Multiplication Law__en.srt	SRT	4.66 KB
011 Bayes' Law.mp4	MP4	20.94 MB
011 Bayes' Law__en.srt	SRT	7.55 KB
012 A Practical Example of Bayesian Inference.mp4	MP4	125.49 MB
012 A Practical Example of Bayesian Inference__en.srt	SRT	19.75 KB
17431622-Course-Notes-Bayesian-Inference.pdf	PDF	386.01 KB
17970686-CDS-2017-2018-Hamilton.pdf	PDF	845.31 KB
18886388-Bayesian-Homework.pdf	PDF	27.26 KB
18886392-Bayesian-Homework-Solutions.pdf	PDF	30.35 KB
GetFreeCourses.Co.url	URL	116 B
How you can help GetFreeCourses.Co.txt	TXT	182 B

12 - Probability - Distributions

001 Fundamentals of Probability Distributions.mp4	MP4	19.28 MB
001 Fundamentals of Probability Distributions__en.srt	SRT	7.92 KB
002 Types of Probability Distributions.mp4	MP4	28.69 MB
002 Types of Probability Distributions__en.srt	SRT	9.72 KB
003 Characteristics of Discrete Distributions.mp4	MP4	9.25 MB
003 Characteristics of Discrete Distributions__en.srt	SRT	2.51 KB
004 Discrete Distributions_ The Uniform Distribution.mp4	MP4	10.08 MB
004 Discrete Distributions_ The Uniform Distribution__en.srt	SRT	2.84 KB
005 Discrete Distributions_ The Bernoulli Distribution.mp4	MP4	14.76 MB
005 Discrete Distributions_ The Bernoulli Distribution__en.srt	SRT	4.29 KB
006 Discrete Distributions_ The Binomial Distribution.mp4	MP4	24.94 MB
006 Discrete Distributions_ The Binomial Distribution__en.srt	SRT	8.68 KB
007 Discrete Distributions_ The Poisson Distribution.mp4	MP4	14.62 MB
007 Discrete Distributions_ The Poisson Distribution__en.srt	SRT	6.6 KB
008 Characteristics of Continuous Distributions.mp4	MP4	28.87 MB
008 Characteristics of Continuous Distributions__en.srt	SRT	8.88 KB
009 Continuous Distributions_ The Normal Distribution.mp4	MP4	19.67 MB
009 Continuous Distributions_ The Normal Distribution__en.srt	SRT	4.92 KB
010 Continuous Distributions_ The Standard Normal Distribution.mp4	MP4	20.72 MB
010 Continuous Distributions_ The Standard Normal Distribution__en.srt	SRT	5.41 KB
011 Continuous Distributions_ The Students' T Distribution.mp4	MP4	5.44 MB
011 Continuous Distributions_ The Students' T Distribution__en.srt	SRT	2.97 KB
012 Continuous Distributions_ The Chi-Squared Distribution.mp4	MP4	10.95 MB
012 Continuous Distributions_ The Chi-Squared Distribution__en.srt	SRT	2.9 KB
013 Continuous Distributions_ The Exponential Distribution.mp4	MP4	15.76 MB
013 Continuous Distributions_ The Exponential Distribution__en.srt	SRT	4.2 KB
014 Continuous Distributions_ The Logistic Distribution.mp4	MP4	15.95 MB
014 Continuous Distributions_ The Logistic Distribution__en.srt	SRT	5.42 KB
015 A Practical Example of Probability Distributions.mp4	MP4	138.31 MB
015 A Practical Example of Probability Distributions__en.srt	SRT	20.29 KB
17431628-Solving-Integrals.pdf	PDF	343.85 KB
17550252-Normal-Distribution-Exp-and-Var.pdf	PDF	144.08 KB
17862366-Poisson-Expected-Value-and-Variance.pdf	PDF	145.99 KB
17971238-FIFA19.csv	CSV	8.64 MB
17971248-FIFA19-post.csv	CSV	8.64 MB
17971258-Daily-Views.xlsx	XLSX	9.53 KB
17971260-Daily-Views-post.xlsx	XLSX	20.21 KB
17971264-Customers-Membership.xlsx	XLSX	9.69 KB
17971268-Customers-Membership-post.xlsx	XLSX	15.62 KB
20945990-Course-Notes-Probability-Distributions.pdf	PDF	463.95 KB

13 - Probability - Probability in Other Fields

001 Probability in Finance.mp4	MP4	39.66 MB
001 Probability in Finance__en.srt	SRT	9.8 KB
002 Probability in Statistics.mp4	MP4	14.26 MB
002 Probability in Statistics__en.srt	SRT	8.62 KB
003 Probability in Data Science.mp4	MP4	23.94 MB
003 Probability in Data Science__en.srt	SRT	6.64 KB
19327638-Probability-in-Finance-Homework.pdf	PDF	110.68 KB
19327648-Probability-in-Finance-Solutions.pdf	PDF	184.46 KB
23224540-Probability-Cheat-Sheet.pdf	PDF	320.28 KB

14 - Part 3_ Statistics

001 Population and Sample.mp4	MP4	10.89 MB
001 Population and Sample__en.srt	SRT	5.59 KB
14812652-Course-notes-descriptive-statistics.pdf	PDF	482.21 KB
15762096-Statistics-Glossary.xlsx	XLSX	20.26 KB

15 - Statistics - Descriptive Statistics

001 Types of Data.mp4	MP4	42.47 MB
001 Types of Data__en.srt	SRT	6.14 KB
002 Levels of Measurement.mp4	MP4	31.44 MB
002 Levels of Measurement__en.srt	SRT	4.72 KB
003 Categorical Variables - Visualization Techniques.mp4	MP4	36.65 MB
003 Categorical Variables - Visualization Techniques__en.srt	SRT	6.44 KB
004 Categorical Variables Exercise.html	HTML	81 B
005 Numerical Variables - Frequency Distribution Table.mp4	MP4	12.8 MB
005 Numerical Variables - Frequency Distribution Table__en.srt	SRT	4.39 KB
006 Numerical Variables Exercise.html	HTML	81 B
007 The Histogram.mp4	MP4	3.85 MB
007 The Histogram__en.srt	SRT	3.12 KB
008 Histogram Exercise.html	HTML	81 B
009 Cross Tables and Scatter Plots.mp4	MP4	19.7 MB
009 Cross Tables and Scatter Plots__en.srt	SRT	6.7 KB
010 Cross Tables and Scatter Plots Exercise.html	HTML	81 B
011 Mean, median and mode.mp4	MP4	17.53 MB
011 Mean, median and mode__en.srt	SRT	5.99 KB
012 Mean, Median and Mode Exercise.html	HTML	81 B
013 Skewness.mp4	MP4	9.92 MB
013 Skewness__en.srt	SRT	3.63 KB
014 Skewness Exercise.html	HTML	81 B
015 Variance.mp4	MP4	20.21 MB
015 Variance__en.srt	SRT	7.87 KB
016 Variance Exercise.html	HTML	522 B
017 Standard Deviation and Coefficient of Variation.mp4	MP4	20.14 MB
017 Standard Deviation and Coefficient of Variation__en.srt	SRT	6.62 KB
018 Standard Deviation and Coefficient of Variation Exercise.html	HTML	81 B
019 Covariance.mp4	MP4	18.41 MB
019 Covariance__en.srt	SRT	4.97 KB
020 Covariance Exercise.html	HTML	81 B
021 Correlation Coefficient.mp4	MP4	19.38 MB
021 Correlation Coefficient__en.srt	SRT	4.75 KB
022 Correlation Coefficient Exercise.html	HTML	81 B
13055412-2.3.Categorical-variables.Visualization-techniques-exercise.xlsx	XLSX	15.24 KB
13055414-2.3.Categorical-variables.Visualization-techniques-exercise-solution.xlsx	XLSX	41.11 KB
13055440-2.5.The-Histogram-lesson.xlsx	XLSX	18.63 KB
13055456-2.6.Cross-table-and-scatter-plot.xlsx	XLSX	26.12 KB
13055460-2.6.Cross-table-and-scatter-plot-exercise.xlsx	XLSX	16.28 KB
13055464-2.6.Cross-table-and-scatter-plot-exercise-solution.xlsx	XLSX	40.44 KB
13055474-2.7.Mean-median-and-mode-lesson.xlsx	XLSX	10.49 KB
13055484-2.7.Mean-median-and-mode-exercise.xlsx	XLSX	10.87 KB
13055486-2.7.Mean-median-and-mode-exercise-solution.xlsx	XLSX	11.35 KB
13055492-2.8.Skewness-lesson.xlsx	XLSX	34.63 KB
13055500-2.8.Skewness-exercise.xlsx	XLSX	9.49 KB
13055502-2.8.Skewness-exercise-solution.xlsx	XLSX	19.78 KB
13055510-2.9.Variance-lesson.xlsx	XLSX	10.08 KB
13055516-2.9.Variance-exercise.xlsx	XLSX	10.83 KB
13055520-2.9.Variance-exercise-solution.xlsx	XLSX	11.05 KB
13055774-2.3.Categorical-variables.Visualization-techniques-lesson.xlsx	XLSX	30.77 KB
13055786-2.5.The-Histogram-exercise.xlsx	XLSX	15.5 KB
13055790-2.5.The-Histogram-exercise-solution.xlsx	XLSX	17.1 KB
13055800-2.10.Standard-deviation-and-coefficient-of-variation-lesson.xlsx	XLSX	10.97 KB
13055814-2.11.Covariance-lesson.xlsx	XLSX	24.92 KB
13055822-2.11.Covariance-exercise.xlsx	XLSX	20.23 KB
13055824-2.11.Covariance-exercise-solution.xlsx	XLSX	29.51 KB
13055834-2.12.Correlation-exercise.xlsx	XLSX	29.3 KB
13055838-2.12.Correlation-exercise-solution.xlsx	XLSX	29.48 KB
14679830-2.4.Numerical-variables.Frequency-distribution-table-lesson.xlsx	XLSX	11.44 KB
14812660-Course-notes-descriptive-statistics.pdf	PDF	482.21 KB
16753694-Statistics-PDF-with-Excel-Solutions-that-dont-visualize-properly.pdf	PDF	289.12 KB
16753696-Statistics-PDF-with-Excel-Solutions-that-dont-visualize-properly.pdf	PDF	289.12 KB
18029224-Glossary.xlsx	XLSX	19.97 KB
19880121-2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx	XLSX	11.61 KB
19880123-2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx	XLSX	12.6 KB
23038654-2.4.Numerical-variables.Frequency-distribution-table-exercise-solution.xlsx	XLSX	13.15 KB

16 - Statistics - Practical Example_ Descriptive Statistics

001 Practical Example_ Descriptive Statistics.mp4	MP4	37.17 MB
001 Practical Example_ Descriptive Statistics__en.srt	SRT	20.91 KB
002 Practical Example_ Descriptive Statistics Exercise.html	HTML	81 B
13129220-2.13.Practical-example.Descriptive-statistics-lesson.xlsx	XLSX	146.51 KB
19527574-2.13.Practical-example.Descriptive-statistics-exercise.xlsx	XLSX	120.27 KB
19527576-2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx	XLSX	146.38 KB

17 - Statistics - Inferential Statistics Fundamentals

001 Introduction.mp4	MP4	2.93 MB
001 Introduction__en.srt	SRT	1.63 KB
002 What is a Distribution.mp4	MP4	16.9 MB
002 What is a Distribution__en.srt	SRT	6.13 KB
003 The Normal Distribution.mp4	MP4	16.16 MB
003 The Normal Distribution__en.srt	SRT	5.01 KB
004 The Standard Normal Distribution.mp4	MP4	8.62 MB
004 The Standard Normal Distribution__en.srt	SRT	4.15 KB
005 The Standard Normal Distribution Exercise.html	HTML	81 B
006 Central Limit Theorem.mp4	MP4	22.86 MB
006 Central Limit Theorem__en.srt	SRT	5.68 KB
007 Standard error.mp4	MP4	13.33 MB
007 Standard error__en.srt	SRT	1.92 KB
008 Estimators and Estimates.mp4	MP4	16.13 MB
008 Estimators and Estimates__en.srt	SRT	3.89 KB
13055898-3.2.What-is-a-distribution-lesson.xlsx	XLSX	19.46 KB
13055942-3.4.Standard-normal-distribution-lesson.xlsx	XLSX	10.38 KB
13831264-Course-notes-inferential-statistics.pdf	PDF	382.32 KB
13831266-Course-notes-inferential-statistics.pdf	PDF	382.32 KB
14171114-3.4.Standard-normal-distribution-exercise.xlsx	XLSX	11.99 KB
14171118-3.4.Standard-normal-distribution-exercise-solution.xlsx	XLSX	24.04 KB

18 - Statistics - Inferential Statistics_ Confidence Intervals

001 What are Confidence Intervals_.mp4	MP4	28.38 MB
001 What are Confidence Intervals___en.srt	SRT	3.29 KB
002 Confidence Intervals; Population Variance Known; Z-score.mp4	MP4	52.21 MB
002 Confidence Intervals; Population Variance Known; Z-score__en.srt	SRT	10.26 KB
003 Confidence Intervals; Population Variance Known; Z-score; Exercise.html	HTML	81 B
004 Confidence Interval Clarifications.mp4	MP4	18.56 MB
004 Confidence Interval Clarifications__en.srt	SRT	5.8 KB
005 Student's T Distribution.mp4	MP4	13.33 MB
005 Student's T Distribution__en.srt	SRT	4.24 KB
006 Confidence Intervals; Population Variance Unknown; T-score.mp4	MP4	11.58 MB
006 Confidence Intervals; Population Variance Unknown; T-score__en.srt	SRT	5.67 KB
007 Confidence Intervals; Population Variance Unknown; T-score; Exercise.html	HTML	81 B
008 Margin of Error.mp4	MP4	22.66 MB
008 Margin of Error__en.srt	SRT	6.27 KB
009 Confidence intervals. Two means. Dependent samples.mp4	MP4	45.04 MB
009 Confidence intervals. Two means. Dependent samples__en.srt	SRT	8.18 KB
010 Confidence intervals. Two means. Dependent samples Exercise.html	HTML	81 B
011 Confidence intervals. Two means. Independent Samples (Part 1).mp4	MP4	12 MB
011 Confidence intervals. Two means. Independent Samples (Part 1)__en.srt	SRT	6.1 KB
012 Confidence intervals. Two means. Independent Samples (Part 1). Exercise.html	HTML	81 B
013 Confidence intervals. Two means. Independent Samples (Part 2).mp4	MP4	13.05 MB
013 Confidence intervals. Two means. Independent Samples (Part 2)__en.srt	SRT	4.81 KB
014 Confidence intervals. Two means. Independent Samples (Part 2). Exercise.html	HTML	81 B
015 Confidence intervals. Two means. Independent Samples (Part 3).mp4	MP4	4.17 MB
015 Confidence intervals. Two means. Independent Samples (Part 3)__en.srt	SRT	1.93 KB
13056180-3.9.Population-variance-known-z-score-lesson.xlsx	XLSX	11.21 KB
13056196-3.9.Population-variance-known-z-score-exercise.xlsx	XLSX	10.83 KB
13056200-3.9.Population-variance-known-z-score-exercise-solution.xlsx	XLSX	11.16 KB
13056212-3.11.Population-variance-unknown-t-score-lesson.xlsx	XLSX	10.78 KB
13056216-3.11.The-t-table.xlsx	XLSX	15.85 KB
13056226-3.11.Population-variance-unknown-t-score-exercise.xlsx	XLSX	10.62 KB
13056228-3.11.Population-variance-unknown-t-score-exercise-solution.xlsx	XLSX	11.1 KB
13056236-3.13.Confidence-intervals.Two-means.Dependent-samples-lesson.xlsx	XLSX	10.47 KB
13056246-3.13.Confidence-intervals.Two-means.Dependent-samples-exercise.xlsx	XLSX	13.74 KB
13056252-3.13.Confidence-intervals.Two-means.Dependent-samples-exercise-solution.xlsx	XLSX	14.24 KB
13056280-3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-lesson.xlsx	XLSX	9.83 KB
13056290-3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-exercise.xlsx	XLSX	9.83 KB
13056292-3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-exercise-solution.xlsx	XLSX	10.12 KB
13056308-3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-lesson.xlsx	XLSX	9.52 KB
13056316-3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-exercise.xlsx	XLSX	9.17 KB
13056318-3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-exercise-solution.xlsx	XLSX	9.79 KB
16413674-3.9.The-z-table.xlsx	XLSX	25.58 KB
16413678-3.9.The-z-table.xlsx	XLSX	25.58 KB
21198408-3.11.The-t-table.xlsx	XLSX	15.85 KB

19 - Statistics - Practical Example_ Inferential Statistics

001 Practical Example_ Inferential Statistics.mp4	MP4	22.1 MB
001 Practical Example_ Inferential Statistics__en.srt	SRT	13.73 KB
002 Practical Example_ Inferential Statistics Exercise.html	HTML	81 B
13056326-3.17.Practical-example.Confidence-intervals-lesson.xlsx	XLSX	1.74 MB
17959056-3.17.Practical-example.Confidence-intervals-exercise.xlsx	XLSX	1.73 MB
17959058-3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx	XLSX	1.82 MB

20 - Statistics - Hypothesis Testing

001 Null vs Alternative Hypothesis.mp4	MP4	80.83 MB
001 Null vs Alternative Hypothesis__en.srt	SRT	7.35 KB
002 Further Reading on Null and Alternative Hypothesis.html	HTML	2.23 KB
003 Rejection Region and Significance Level.mp4	MP4	38.2 MB
003 Rejection Region and Significance Level__en.srt	SRT	9.09 KB
004 Type I Error and Type II Error.mp4	MP4	18.17 MB
004 Type I Error and Type II Error__en.srt	SRT	5.26 KB
005 Test for the Mean. Population Variance Known.mp4	MP4	36.96 MB
005 Test for the Mean. Population Variance Known__en.srt	SRT	8.32 KB
006 Test for the Mean. Population Variance Known Exercise.html	HTML	81 B
007 p-value.mp4	MP4	33.08 MB
007 p-value__en.srt	SRT	5.37 KB
008 Test for the Mean. Population Variance Unknown.mp4	MP4	19.72 MB
008 Test for the Mean. Population Variance Unknown__en.srt	SRT	6.2 KB
009 Test for the Mean. Population Variance Unknown Exercise.html	HTML	81 B
010 Test for the Mean. Dependent Samples.mp4	MP4	32.8 MB
010 Test for the Mean. Dependent Samples__en.srt	SRT	6.78 KB
011 Test for the Mean. Dependent Samples Exercise.html	HTML	81 B
012 Test for the mean. Independent Samples (Part 1).mp4	MP4	7.57 MB
012 Test for the mean. Independent Samples (Part 1)__en.srt	SRT	5.57 KB
013 Test for the mean. Independent Samples (Part 1). Exercise.html	HTML	81 B
014 Test for the mean. Independent Samples (Part 2).mp4	MP4	24.47 MB
014 Test for the mean. Independent Samples (Part 2)__en.srt	SRT	5.47 KB
015 Test for the mean. Independent Samples (Part 2). Exercise.html	HTML	81 B
13056520-4.4.Test-for-the-mean.Population-variance-known-lesson.xlsx	XLSX	10.96 KB
13056684-4.4.Test-for-the-mean.Population-variance-known-exercise.xlsx	XLSX	11.03 KB
13056688-4.4.Test-for-the-mean.Population-variance-known-exercise-solution.xlsx	XLSX	11.22 KB
13056708-4.6.Test-for-the-mean.Population-variance-unknown-exercise.xlsx	XLSX	11.34 KB
13056712-4.7.Test-for-the-mean.Dependent-samples-lesson.xlsx	XLSX	9.79 KB
13056716-4.7.Test-for-the-mean.Dependent-samples-exercise.xlsx	XLSX	12.8 KB
13056718-4.7.Test-for-the-mean.Dependent-samples-exercise-solution.xlsx	XLSX	14.4 KB
13056720-4.8.Test-for-the-mean.Independent-samples-Part-1-lesson.xlsx	XLSX	9.63 KB
13056726-4.9.Test-for-the-mean.Independent-samples-Part-2-lesson.xlsx	XLSX	9.31 KB
13737052-4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx	XLSX	14.54 KB
16190540-4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx	XLSX	10.54 KB
16190542-4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx	XLSX	11.39 KB
16200120-4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx	XLSX	10.77 KB
16753580-Online-p-value-calculator.pdf	PDF	1.15 MB
17710210-4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx	XLSX	12.63 KB
18041220-4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx	XLSX	11.25 KB
22431075-Course-notes-hypothesis-testing.pdf	PDF	656.44 KB
22431079-Course-notes-hypothesis-testing.pdf	PDF	656.44 KB

21 - Statistics - Practical Example_ Hypothesis Testing

001 Practical Example_ Hypothesis Testing.mp4	MP4	16.3 MB
001 Practical Example_ Hypothesis Testing__en.srt	SRT	8.71 KB
002 Practical Example_ Hypothesis Testing Exercise.html	HTML	81 B
27047254-4.10.Hypothesis-testing-section-practical-example.xlsx	XLSX	51.9 KB
27047330-4.10.Hypothesis-testing-section-practical-example-exercise.xlsx	XLSX	43.69 KB
27047334-4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx	XLSX	44.27 KB

22 - Part 4_ Introduction to Python

001 Introduction to Programming.mp4	MP4	14.33 MB
001 Introduction to Programming__en.srt	SRT	6.93 KB
002 Why Python_.mp4	MP4	11.77 MB
002 Why Python___en.srt	SRT	6.85 KB
003 Why Jupyter_.mp4	MP4	7.96 MB
003 Why Jupyter___en.srt	SRT	4.63 KB
004 Installing Python and Jupyter.mp4	MP4	32.86 MB
004 Installing Python and Jupyter__en.srt	SRT	9.11 KB
005 Understanding Jupyter's Interface - the Notebook Dashboard.mp4	MP4	4.39 MB
005 Understanding Jupyter's Interface - the Notebook Dashboard__en.srt	SRT	3.7 KB
006 Prerequisites for Coding in the Jupyter Notebooks.mp4	MP4	15.38 MB
006 Prerequisites for Coding in the Jupyter Notebooks__en.srt	SRT	7.66 KB

23 - Python - Variables and Data Types

001 Variables.mp4	MP4	8.93 MB
001 Variables__en.srt	SRT	4.53 KB
002 Numbers and Boolean Values in Python.mp4	MP4	4.61 MB
002 Numbers and Boolean Values in Python__en.srt	SRT	3.62 KB
003 Python Strings.mp4	MP4	19.74 MB
003 Python Strings__en.srt	SRT	7.1 KB
15870664-Python-Introduction-Course-Notes.pdf	PDF	2.03 MB
29544526-Variables-Lecture-Py3.ipynb	IPYNB	3.61 KB
29544572-Numbers-and-Boolean-Values-Lecture-Py3.ipynb	IPYNB	3.36 KB
29544578-Strings-Lecture-Py3.ipynb	IPYNB	7.56 KB
29544582-Strings-Exercise-Py3.ipynb	IPYNB	2.61 KB
29544586-Strings-Solution-Py3.ipynb	IPYNB	5.45 KB
29544590-Numbers-and-Boolean-Values-Exercise-Py3.ipynb	IPYNB	2.29 KB
29544594-Numbers-and-Boolean-Values-Solution-Py3.ipynb	IPYNB	3.23 KB
29544602-Variables-Exercise-Py3.ipynb	IPYNB	2.23 KB
29544612-Variables-Solution-Py3.ipynb	IPYNB	3.79 KB

24 - Python - Basic Python Syntax

001 Using Arithmetic Operators in Python.mp4	MP4	7.28 MB
001 Using Arithmetic Operators in Python__en.srt	SRT	4.28 KB
002 The Double Equality Sign.mp4	MP4	2.72 MB
002 The Double Equality Sign__en.srt	SRT	1.77 KB
003 How to Reassign Values.mp4	MP4	1.86 MB
003 How to Reassign Values__en.srt	SRT	1.39 KB
004 Add Comments.mp4	MP4	2.41 MB
004 Add Comments__en.srt	SRT	1.8 KB
005 Understanding Line Continuation.mp4	MP4	1014.51 KB
005 Understanding Line Continuation__en.srt	SRT	1.14 KB
006 Indexing Elements.mp4	MP4	2.36 MB
006 Indexing Elements__en.srt	SRT	1.63 KB
007 Structuring with Indentation.mp4	MP4	2.8 MB
007 Structuring with Indentation__en.srt	SRT	2.18 KB
29544616-Arithmetic-Operators-Lecture-Py3.ipynb	IPYNB	3.53 KB
29544618-Arithmetic-Operators-Exercise-Py3.ipynb	IPYNB	2.62 KB
29544620-Arithmetic-Operators-Solution-Py3.ipynb	IPYNB	4.24 KB
29544624-The-Double-Equality-Sign-Lecture-Py3.ipynb	IPYNB	1.45 KB
29544630-The-Double-Equality-Sign-Exercise-Py3.ipynb	IPYNB	838 B
29544632-The-Double-Equality-Sign-Solution-Py3.ipynb	IPYNB	1.14 KB
29544648-Reassign-Values-Lecture-Py3.ipynb	IPYNB	3.08 KB
29544656-Reassign-Values-Exercise-Py3.ipynb	IPYNB	1.67 KB
29544658-Reassign-Values-Solution-Py3.ipynb	IPYNB	2.12 KB
29544678-Add-Comments-Lecture-Py3.ipynb	IPYNB	1.03 KB
29544682-Indexing-Elements-Lecture-Py3.ipynb	IPYNB	1.32 KB
29544684-Indexing-Elements-Exercise-Py3.ipynb	IPYNB	1.35 KB
29544694-Indexing-Elements-Solution-Py3.ipynb	IPYNB	2.17 KB
29544712-Line-Continuation-Lecture-Py3.ipynb	IPYNB	779 B
29544714-Line-Continuation-Exercise-Py3.ipynb	IPYNB	1.14 KB
29544716-Line-Continuation-Solution-Py3.ipynb	IPYNB	1.5 KB
29544720-Structure-Your-Code-with-Indentation-Lecture-Py3.ipynb	IPYNB	958 B
29544724-Structure-Your-Code-with-Indentation-Exercise-Py3.ipynb	IPYNB	956 B
29544728-Structure-Your-Code-with-Indentation-Solution-Py3.ipynb	IPYNB	1.5 KB
GetFreeCourses.Co.url	URL	116 B
How you can help GetFreeCourses.Co.txt	TXT	182 B

25 - Python - Other Python Operators

001 Comparison Operators.mp4	MP4	3.12 MB
001 Comparison Operators__en.srt	SRT	2.5 KB
002 Logical and Identity Operators.mp4	MP4	19 MB
002 Logical and Identity Operators__en.srt	SRT	5.94 KB
29544734-Comparison-Operators-Lecture-Py3.ipynb	IPYNB	2.53 KB
29544738-Comparison-Operators-Exercise-Py3.ipynb	IPYNB	1.61 KB
29544744-Comparison-Operators-Solution-Py3.ipynb	IPYNB	2.41 KB
29544754-Logical-and-Identity-Operators-Lecture-Py3.ipynb	IPYNB	5.86 KB
29544770-Logical-and-Identity-Operators-Lecture-Py3.ipynb	IPYNB	5.86 KB
29544776-Logical-and-Identity-Operators-Solution-Py3.ipynb	IPYNB	3.43 KB

26 - Python - Conditional Statements

001 The IF Statement.mp4	MP4	5.33 MB
001 The IF Statement__en.srt	SRT	3.53 KB
002 The ELSE Statement.mp4	MP4	5.25 MB
002 The ELSE Statement__en.srt	SRT	3.11 KB
003 The ELIF Statement.mp4	MP4	14.25 MB
003 The ELIF Statement__en.srt	SRT	6.6 KB
004 A Note on Boolean Values.mp4	MP4	3.26 MB
004 A Note on Boolean Values__en.srt	SRT	2.91 KB
29544784-Introduction-to-the-If-Statement-Lecture-Py3.ipynb	IPYNB	1.14 KB
29544788-Introduction-to-the-If-Statement-Exercise-Py3.ipynb	IPYNB	1.53 KB
29544792-Introduction-to-the-If-Statement-Solution-Py3.ipynb	IPYNB	2.19 KB
29544796-Add-an-Else-Statement-Lecture-Py3.ipynb	IPYNB	1.76 KB
29544802-Add-an-Else-Statement-Exercise-Py3.ipynb	IPYNB	1.02 KB
29544804-Add-an-Else-Statement-Solution-Py3.ipynb	IPYNB	1.4 KB
29544814-Else-If-for-Brief-Elif-Lecture-Py3.ipynb	IPYNB	3.24 KB
29544818-Else-If-for-Brief-Elif-Exercise-Py3.ipynb	IPYNB	1.75 KB
29544822-Else-If-for-Brief-Elif-Solution-Py3.ipynb	IPYNB	2.4 KB
29544828-A-Note-on-Boolean-Values-Lecture-Py3.ipynb	IPYNB	791 B

27 - Python - Python Functions

001 Defining a Function in Python.mp4	MP4	3.23 MB
001 Defining a Function in Python__en.srt	SRT	2.43 KB
002 How to Create a Function with a Parameter.mp4	MP4	8.29 MB
002 How to Create a Function with a Parameter__en.srt	SRT	4.3 KB
003 Defining a Function in Python - Part II.mp4	MP4	6.45 MB
003 Defining a Function in Python - Part II__en.srt	SRT	2.88 KB
004 How to Use a Function within a Function.mp4	MP4	3.25 MB
004 How to Use a Function within a Function__en.srt	SRT	2.07 KB
005 Conditional Statements and Functions.mp4	MP4	6.04 MB
005 Conditional Statements and Functions__en.srt	SRT	3.62 KB
006 Functions Containing a Few Arguments.mp4	MP4	2.24 MB
006 Functions Containing a Few Arguments__en.srt	SRT	1.33 KB
007 Built-in Functions in Python.mp4	MP4	8.5 MB
007 Built-in Functions in Python__en.srt	SRT	4.29 KB
29544842-Defining-a-Function-in-Python-Lecture-Py3.ipynb	IPYNB	868 B
29544846-Creating-a-Function-with-a-Parameter-Lecture-Py3.ipynb	IPYNB	1.59 KB
29544848-Creating-a-Function-with-a-Parameter-Exercise-Py3.ipynb	IPYNB	1.16 KB
29544850-Creating-a-Function-with-a-Parameter-Solution-Py3.ipynb	IPYNB	1.79 KB
29544866-Another-Way-to-Define-a-Function-Lecture-Py3.ipynb	IPYNB	3.29 KB
29544868-Another-Way-to-Define-a-Function-Exercise-Py3.ipynb	IPYNB	1.24 KB
29544874-Another-Way-to-Define-a-Function-Solution-Py3.ipynb	IPYNB	1.98 KB
29544880-0.6.4-Using-a-Function-in-another-Function-Lecture-Py3.ipynb	IPYNB	1015 B
29544888-0.6.4-Using-a-Function-in-another-Function-Exercise-Py3.ipynb	IPYNB	1.04 KB
29544890-0.6.4-Using-a-Function-in-another-Function-Solution-Py3.ipynb	IPYNB	1.6 KB
29544904-Combining-Conditional-Statements-and-Functions-Lecture-Py3.ipynb	IPYNB	1.29 KB
29544906-Combining-Conditional-Statements-and-Functions-Exercise-Py3.ipynb	IPYNB	1.06 KB
29544910-Combining-Conditional-Statements-and-Functions-Solution-Py3.ipynb	IPYNB	1.65 KB
29544920-Creating-Functions-Containing-a-Few-Arguments-Lecture-Py3.ipynb	IPYNB	1.72 KB
29544922-Notable-Built-In-Functions-in-Python-Lecture-Py3.ipynb	IPYNB	4.51 KB
29544924-Notable-Built-In-Functions-in-Python-Exercise-Py3.ipynb	IPYNB	3.66 KB
29544926-Notable-Built-In-Functions-in-Python-Solution-Py3.ipynb	IPYNB	5.52 KB

28 - Python - Sequences

001 Lists.mp4	MP4	20.5 MB
001 Lists__en.srt	SRT	10.05 KB
002 Using Methods.mp4	MP4	23.42 MB
002 Using Methods__en.srt	SRT	8.35 KB
003 List Slicing.mp4	MP4	19.17 MB
003 List Slicing__en.srt	SRT	5.22 KB
004 Tuples.mp4	MP4	9.5 MB
004 Tuples__en.srt	SRT	7.24 KB
005 Dictionaries.mp4	MP4	24.91 MB
005 Dictionaries__en.srt	SRT	9.08 KB
29544928-Lists-Lecture-Py3.ipynb	IPYNB	2.7 KB
29544930-Lists-Exercise-Py3.ipynb	IPYNB	2.14 KB
29544932-Lists-Solution-Py3.ipynb	IPYNB	3.18 KB
29544938-Help-Yourself-with-Methods-Lecture-Py3.ipynb	IPYNB	4.39 KB
29544942-Help-Yourself-with-Methods-Exercise-Py3.ipynb	IPYNB	1.91 KB
29544946-Help-Yourself-with-Methods-Solution-Py3.ipynb	IPYNB	2.83 KB
29544952-List-Slicing-Lecture-Py3.ipynb	IPYNB	5.02 KB
29544956-List-Slicing-Exercise-Py3.ipynb	IPYNB	2.79 KB
29544960-List-Slicing-Solution-Py3.ipynb	IPYNB	4.26 KB
29544972-Tuples-Lecture-Py3.ipynb	IPYNB	2.91 KB
29544976-Tuples-Exercise-Py3.ipynb	IPYNB	2.07 KB
29544978-Tuples-Solution-Py3.ipynb	IPYNB	4.61 KB
29544988-Dictionaries-Lecture-Py3.ipynb	IPYNB	4.35 KB
29544992-Dictionaries-Exercise-Py3.ipynb	IPYNB	2.92 KB
29544994-Dictionaries-Solution-Py3.ipynb	IPYNB	6.16 KB

29 - Python - Iterations

001 For Loops.mp4	MP4	23.58 MB
001 For Loops__en.srt	SRT	6.69 KB
002 While Loops and Incrementing.mp4	MP4	20.2 MB
002 While Loops and Incrementing__en.srt	SRT	6.18 KB
003 Lists with the range() Function.mp4	MP4	14.5 MB
003 Lists with the range() Function__en.srt	SRT	8.03 KB
004 Conditional Statements and Loops.mp4	MP4	21.94 MB
004 Conditional Statements and Loops__en.srt	SRT	7.67 KB
005 Conditional Statements, Functions, and Loops.mp4	MP4	2.91 MB
005 Conditional Statements, Functions, and Loops__en.srt	SRT	2.33 KB
006 How to Iterate over Dictionaries.mp4	MP4	16.46 MB
006 How to Iterate over Dictionaries__en.srt	SRT	7.6 KB
29545008-For-Loops-Lecture-Py3.ipynb	IPYNB	1.26 KB
29545010-For-Loops-Exercise-Py3.ipynb	IPYNB	1.28 KB
29545018-For-Loops-Solution-Py3.ipynb	IPYNB	1.8 KB
29545028-While-Loops-and-Incrementing-Lecture-Py3.ipynb	IPYNB	1.08 KB
29545030-While-Loops-and-Incrementing-Exercise-Py3.ipynb	IPYNB	1.12 KB
29545032-While-Loops-and-Incrementing-Solution-Py3.ipynb	IPYNB	1.75 KB
29545042-Create-Lists-with-the-range-Function-Lecture-Py3.ipynb	IPYNB	1.34 KB
29545046-Create-Lists-with-the-range-Function-Exercise-Py3.ipynb	IPYNB	1.45 KB
29545048-Create-Lists-with-the-range-Function-Solution-Py3.ipynb	IPYNB	2.25 KB
29545058-Use-Conditional-Statements-and-Loops-Together-Lecture-Py3.ipynb	IPYNB	1.95 KB
29545070-Use-Conditional-Statements-and-Loops-Together-Exercise-Py3.ipynb	IPYNB	2.1 KB
29545074-Use-Conditional-Statements-and-Loops-Together-Solution-Py3.ipynb	IPYNB	2.96 KB
29545092-All-In-Lecture-Py3.ipynb	IPYNB	1.62 KB
29545100-All-In-Exercise-Py3.ipynb	IPYNB	1.3 KB
29545102-All-In-Solution-Py3.ipynb	IPYNB	1.9 KB
29545116-Iterating-over-Dictionaries-Lecture-Py3.ipynb	IPYNB	1.08 KB
29545118-Iterating-over-Dictionaries-Exercise-Py3.ipynb	IPYNB	2.19 KB
29545120-Iterating-over-Dictionaries-Solution-Py3.ipynb	IPYNB	2.87 KB

30 - Python - Advanced Python Tools

001 Object Oriented Programming.mp4	MP4	8.42 MB
001 Object Oriented Programming__en.srt	SRT	6.1 KB
002 Modules and Packages.mp4	MP4	1.71 MB
002 Modules and Packages__en.srt	SRT	1.34 KB
003 What is the Standard Library_.mp4	MP4	4.87 MB
003 What is the Standard Library___en.srt	SRT	3.66 KB
004 Importing Modules in Python.mp4	MP4	8.53 MB
004 Importing Modules in Python__en.srt	SRT	4.45 KB

31 - Part 5_ Advanced Statistical Methods in Python

001 Introduction to Regression Analysis.mp4	MP4	2.92 MB
001 Introduction to Regression Analysis__en.srt	SRT	2.22 KB
22685780-Course-notes-regression-analysis.pdf	PDF	312.18 KB

32 - Advanced Statistical Methods - Linear Regression with StatsModels

001 The Linear Regression Model.mp4	MP4	13.16 MB
001 The Linear Regression Model__en.srt	SRT	6.83 KB
002 Correlation vs Regression.mp4	MP4	3.75 MB
002 Correlation vs Regression__en.srt	SRT	2.03 KB
003 Geometrical Representation of the Linear Regression Model.mp4	MP4	1.75 MB
003 Geometrical Representation of the Linear Regression Model__en.srt	SRT	1.66 KB
004 Python Packages Installation.mp4	MP4	23.7 MB
004 Python Packages Installation__en.srt	SRT	4.57 KB
004 Python Packages Installation_en.vtt	VTT	4.74 KB
005 First Regression in Python.mp4	MP4	29.63 MB
005 First Regression in Python__en.srt	SRT	7.95 KB
006 First Regression in Python Exercise.html	HTML	1.31 KB
007 Using Seaborn for Graphs.mp4	MP4	7.37 MB
007 Using Seaborn for Graphs__en.srt	SRT	1.53 KB
008 How to Interpret the Regression Table.mp4	MP4	28.72 MB
008 How to Interpret the Regression Table__en.srt	SRT	6.57 KB
009 Decomposition of Variability.mp4	MP4	8.62 MB
009 Decomposition of Variability__en.srt	SRT	4.2 KB
010 What is the OLS_.mp4	MP4	22.44 MB
010 What is the OLS___en.srt	SRT	3.8 KB
011 R-Squared.mp4	MP4	10.79 MB
011 R-Squared__en.srt	SRT	6.73 KB
22685784-Course-notes-regression-analysis.pdf	PDF	312.18 KB
29587970-1.01.Simple-linear-regression.csv	CSV	922 B
29587976-Simple-linear-regression.ipynb	IPYNB	3.79 KB
29588016-Simple-linear-regression-with-comments.ipynb	IPYNB	4.06 KB
29588022-real-estate-price-size.csv	CSV	1.86 KB
29588024-Simple-Linear-Regression-Exercise-Solution.ipynb	IPYNB	3.57 KB
29588026-Simple-Linear-Regression-Exercise.ipynb	IPYNB	2.78 KB

33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels

001 Multiple Linear Regression.mp4	MP4	5.54 MB
001 Multiple Linear Regression__en.srt	SRT	3.32 KB
002 Adjusted R-Squared.mp4	MP4	34.22 MB
002 Adjusted R-Squared__en.srt	SRT	7.57 KB
003 Multiple Linear Regression Exercise.html	HTML	76 B
004 Test for Significance of the Model (F-Test).mp4	MP4	5.9 MB
004 Test for Significance of the Model (F-Test)__en.srt	SRT	2.57 KB
005 OLS Assumptions.mp4	MP4	5.12 MB
005 OLS Assumptions__en.srt	SRT	2.96 KB
006 A1_ Linearity.mp4	MP4	2.66 MB
006 A1_ Linearity__en.srt	SRT	2.38 KB
007 A2_ No Endogeneity.mp4	MP4	8.99 MB
007 A2_ No Endogeneity__en.srt	SRT	5.27 KB
008 A3_ Normality and Homoscedasticity.mp4	MP4	27.39 MB
008 A3_ Normality and Homoscedasticity__en.srt	SRT	6.58 KB
009 A4_ No Autocorrelation.mp4	MP4	7.67 MB
009 A4_ No Autocorrelation__en.srt	SRT	4.82 KB
010 A5_ No Multicollinearity.mp4	MP4	7.36 MB
010 A5_ No Multicollinearity__en.srt	SRT	4.69 KB
011 Dealing with Categorical Data - Dummy Variables.mp4	MP4	35.09 MB
011 Dealing with Categorical Data - Dummy Variables__en.srt	SRT	8.16 KB
012 Dealing with Categorical Data - Dummy Variables.html	HTML	76 B
013 Making Predictions with the Linear Regression.mp4	MP4	16.36 MB
013 Making Predictions with the Linear Regression__en.srt	SRT	4.54 KB
29588058-1.02.Multiple-linear-regression.csv	CSV	1.09 KB
29588064-Multiple-linear-regression-and-Adjusted-R-squared.ipynb	IPYNB	2.15 KB
29588066-Multiple-linear-regression-and-Adjusted-R-squared-with-comments.ipynb	IPYNB	2.8 KB
29588068-Multiple-Linear-Regression-Exercise-Solution.ipynb	IPYNB	13.39 KB
29588072-Multiple-Linear-Regression-Exercise.ipynb	IPYNB	2.45 KB
29588076-real-estate-price-size-year.csv	CSV	2.35 KB
29588090-1.03.Dummies.csv	CSV	1.19 KB
29588094-Dummy-Variables.ipynb	IPYNB	4.62 KB
29588120-Dummy-variables-with-comments.ipynb	IPYNB	7.09 KB
29588124-Multiple-Linear-Regression-with-Dummies-Exercise-Solution.ipynb	IPYNB	18 KB
29588128-Multiple-Linear-Regression-with-Dummies-Exercise.ipynb	IPYNB	3.01 KB
29588130-real-estate-price-size-year-view.csv	CSV	3.39 KB
29588138-Making-predictions.ipynb	IPYNB	5.77 KB
29588142-Making-predictions-with-comments.ipynb	IPYNB	9.41 KB

34 - Advanced Statistical Methods - Linear Regression with sklearn

001 What is sklearn and How is it Different from Other Packages.mp4	MP4	6.24 MB
001 What is sklearn and How is it Different from Other Packages__en.srt	SRT	3.38 KB
002 How are we Going to Approach this Section_.mp4	MP4	4.03 MB
002 How are we Going to Approach this Section___en.srt	SRT	1.56 KB
002 How are we Going to Approach this Section__en.vtt	VTT	2.56 KB
003 Simple Linear Regression with sklearn.mp4	MP4	31.65 MB
003 Simple Linear Regression with sklearn__en.srt	SRT	1.06 KB
003 Simple Linear Regression with sklearn_en.vtt	VTT	6.71 KB
004 Simple Linear Regression with sklearn - A StatsModels-like Summary Table.mp4	MP4	28.88 MB
004 Simple Linear Regression with sklearn - A StatsModels-like Summary Table_en.vtt	VTT	6.08 KB
005 A Note on Normalization.html	HTML	729 B
006 Simple Linear Regression with sklearn - Exercise.html	HTML	76 B
007 Multiple Linear Regression with sklearn.mp4	MP4	9.81 MB
007 Multiple Linear Regression with sklearn__en.srt	SRT	1013 B
007 Multiple Linear Regression with sklearn_en.vtt	VTT	3.8 KB
008 Calculating the Adjusted R-Squared in sklearn.mp4	MP4	16.92 MB
008 Calculating the Adjusted R-Squared in sklearn__en.srt	SRT	6.6 KB
009 Calculating the Adjusted R-Squared in sklearn - Exercise.html	HTML	76 B
010 Feature Selection (F-regression).mp4	MP4	15.68 MB
010 Feature Selection (F-regression)__en.srt	SRT	6.73 KB
011 A Note on Calculation of P-values with sklearn.html	HTML	370 B
012 Creating a Summary Table with P-values.mp4	MP4	6.45 MB
012 Creating a Summary Table with P-values__en.srt	SRT	3.04 KB
013 Multiple Linear Regression - Exercise.html	HTML	76 B
014 Feature Scaling (Standardization).mp4	MP4	20.37 MB
014 Feature Scaling (Standardization)__en.srt	SRT	7.79 KB
015 Feature Selection through Standardization of Weights.mp4	MP4	27.16 MB
015 Feature Selection through Standardization of Weights__en.srt	SRT	7.47 KB
016 Predicting with the Standardized Coefficients.mp4	MP4	18.34 MB
016 Predicting with the Standardized Coefficients__en.srt	SRT	5.81 KB
017 Feature Scaling (Standardization) - Exercise.html	HTML	76 B
018 Underfitting and Overfitting.mp4	MP4	5.69 MB
018 Underfitting and Overfitting__en.srt	SRT	3.43 KB
019 Train - Test Split Explained.mp4	MP4	35.58 MB
019 Train - Test Split Explained__en.srt	SRT	9.82 KB
29588160-1.01.Simple-linear-regression.csv	CSV	922 B
29588164-sklearn-Simple-Linear-Regression.ipynb	IPYNB	4.92 KB
29588166-sklearn-Simple-Linear-Regression-with-comments.ipynb	IPYNB	6.06 KB
29588200-1.01.Simple-linear-regression.csv	CSV	922 B
29588206-sklearn-Simple-Linear-Regression.ipynb	IPYNB	26.07 KB
29588208-sklearn-Simple-Linear-Regression-with-comments.ipynb	IPYNB	28.35 KB
29588240-1.02.Multiple-linear-regression.csv	CSV	1.07 KB
29588244-sklearn-Multiple-Linear-Regression.ipynb	IPYNB	7.79 KB
29588246-sklearn-Multiple-Linear-Regression-with-comments.ipynb	IPYNB	8.65 KB
29588306-1.02.Multiple-linear-regression.csv	CSV	1.07 KB
29588310-sklearn-Multiple-Linear-Regression-and-Adjusted-R-squared.ipynb	IPYNB	9.11 KB
29588312-sklearn-Multiple-Linear-Regression-and-Adjusted-R-squared-with-comments.ipynb	IPYNB	10.41 KB
29588320-1.02.Multiple-linear-regression.csv	CSV	1.07 KB
29588324-sklearn-Multiple-Linear-Regression-and-Adjusted-R-squared-Exercise-Solution.ipynb	IPYNB	10.31 KB
29588328-sklearn-Multiple-Linear-Regression-and-Adjusted-R-squared-Exercise.ipynb	IPYNB	9.83 KB
29588334-1.02.Multiple-linear-regression.csv	CSV	1.07 KB
29588340-sklearn-Feature-Selection-with-F-regression.ipynb	IPYNB	10.44 KB
29588342-sklearn-Feature-Selection-with-F-regression-with-comments.ipynb	IPYNB	12.99 KB
29588350-1.02.Multiple-linear-regression.csv	CSV	1.07 KB
29588358-sklearn-How-to-properly-include-p-values.ipynb	IPYNB	12.71 KB
29588366-1.02.Multiple-linear-regression.csv	CSV	1.07 KB
29588370-sklearn-Multiple-Linear-Regression-Summary-Table.ipynb	IPYNB	13.71 KB
29588372-sklearn-Multiple-Linear-Regression-Summary-Table-with-comments.ipynb	IPYNB	16.63 KB
29588378-real-estate-price-size-year.csv	CSV	2.35 KB
29588380-sklearn-Multiple-Linear-Regression-Exercise-Solution.ipynb	IPYNB	15.44 KB
29588382-sklearn-Multiple-Linear-Regression-Exercise.ipynb	IPYNB	5.67 KB
29588388-1.02.Multiple-linear-regression.csv	CSV	1.07 KB
29588392-sklearn-Feature-Selection-through-Feature-Scaling-Standardization-Part-1.ipynb	IPYNB	11.73 KB
29588394-SKLEAR-1.IPY	IPY	12.87 KB
29588398-1.02.Multiple-linear-regression.csv	CSV	1.07 KB
29588400-sklearn-Feature-Selection-through-Feature-Scaling-Standardization-Part-2.ipynb	IPYNB	14.89 KB
29588412-SKLEAR-1.IPY	IPY	16.79 KB
29588414-1.02.Multiple-linear-regression.csv	CSV	1.07 KB
29588416-sklearn-Making-Predictions-with-the-Standardized-Coefficients.ipynb	IPYNB	29.75 KB
29588422-sklearn-Making-Predictions-with-the-Standardized-Coefficients-with-comments.ipynb	IPYNB	22.03 KB
29588430-real-estate-price-size-year.csv	CSV	2.35 KB
29588432-sklearn-Feature-Scaling-Exercise-Solution.ipynb	IPYNB	16.28 KB
29588434-sklearn-Feature-Scaling-Exercise.ipynb	IPYNB	6.07 KB
29588436-sklearn-Train-Test-Split.ipynb	IPYNB	7.23 KB
29588440-sklearn-Train-Test-Split-with-comments.ipynb	IPYNB	9.05 KB
33130180-real-estate-price-size.csv	CSV	1.86 KB
33130182-Simple-Linear-Regression-with-sklearn-Exercise.ipynb	IPYNB	4.08 KB
33130186-Simple-Linear-Regression-with-sklearn-Exercise-Solution.ipynb	IPYNB	26.61 KB
GetFreeCourses.Co.url	URL	116 B
How you can help GetFreeCourses.Co.txt	TXT	182 B

35 - Advanced Statistical Methods - Practical Example_ Linear Regression

001 Practical Example_ Linear Regression (Part 1).mp4	MP4	84.84 MB
001 Practical Example_ Linear Regression (Part 1)__en.srt	SRT	14.94 KB
002 Practical Example_ Linear Regression (Part 2).mp4	MP4	31.9 MB
002 Practical Example_ Linear Regression (Part 2)__en.srt	SRT	5 KB
002 Practical Example_ Linear Regression (Part 2)_en.vtt	VTT	7.11 KB
003 A Note on Multicollinearity.html	HTML	849 B
004 Practical Example_ Linear Regression (Part 3).mp4	MP4	6.91 MB
004 Practical Example_ Linear Regression (Part 3)__en.srt	SRT	4.19 KB
005 Dummies and Variance Inflation Factor - Exercise.html	HTML	76 B
006 Practical Example_ Linear Regression (Part 4).mp4	MP4	29.84 MB
006 Practical Example_ Linear Regression (Part 4)__en.srt	SRT	11.75 KB
007 Dummy Variables - Exercise.html	HTML	705 B
008 Practical Example_ Linear Regression (Part 5).mp4	MP4	50.42 MB
008 Practical Example_ Linear Regression (Part 5)__en.srt	SRT	10.44 KB
009 Linear Regression - Exercise.html	HTML	497 B
29588446-1.04.Real-life-example.csv	CSV	219.83 KB
29588452-sklearn-Linear-Regression-Practical-Example-Part-1.ipynb	IPYNB	166.91 KB
29588454-sklearn-Linear-Regression-Practical-Example-Part-1-with-comments.ipynb	IPYNB	171.38 KB
29588460-1.04.Real-life-example.csv	CSV	219.83 KB
29588462-sklearn-Linear-Regression-Practical-Example-Part-2.ipynb	IPYNB	328.74 KB
29588466-sklearn-Linear-Regression-Practical-Example-Part-2-with-comments.ipynb	IPYNB	335.63 KB
29588552-sklearn-Linear-Regression-Practical-Example-Part-3.ipynb	IPYNB	343.58 KB
29588558-sklearn-Linear-Regression-Practical-Example-Part-3-with-comments.ipynb	IPYNB	351.47 KB
29588598-1.04.Real-life-example.csv	CSV	219.83 KB
29588602-sklearn-Dummies-and-VIF-Exercise-Solution.ipynb	IPYNB	370.22 KB
29588604-sklearn-Dummies-and-VIF-Exercise.ipynb	IPYNB	344.62 KB
29588606-1.04.Real-life-example.csv	CSV	219.83 KB
29588612-sklearn-Linear-Regression-Practical-Example-Part-4.ipynb	IPYNB	397.23 KB
29588618-sklearn-Linear-Regression-Practical-Example-Part-4-with-comments.ipynb	IPYNB	407.59 KB
29588624-1.04.Real-life-example.csv	CSV	219.83 KB
29588626-sklearn-Linear-Regression-Practical-Example-Part-5.ipynb	IPYNB	698.36 KB
29588630-sklearn-Linear-Regression-Practical-Example-Part-5-with-comments.ipynb	IPYNB	711.05 KB
external-assets-links.txt	TXT	130 B

36 - Advanced Statistical Methods - Logistic Regression

001 Introduction to Logistic Regression.mp4	MP4	4.41 MB
001 Introduction to Logistic Regression__en.srt	SRT	1.71 KB
002 A Simple Example in Python.mp4	MP4	21.91 MB
002 A Simple Example in Python__en.srt	SRT	5.91 KB
003 Logistic vs Logit Function.mp4	MP4	43.96 MB
003 Logistic vs Logit Function__en.srt	SRT	4.89 KB
004 Building a Logistic Regression.mp4	MP4	8.61 MB
004 Building a Logistic Regression__en.srt	SRT	3.43 KB
005 Building a Logistic Regression - Exercise.html	HTML	87 B
006 An Invaluable Coding Tip.mp4	MP4	16.77 MB
006 An Invaluable Coding Tip__en.srt	SRT	3.15 KB
007 Understanding Logistic Regression Tables.mp4	MP4	12.89 MB
007 Understanding Logistic Regression Tables__en.srt	SRT	5.52 KB
008 Understanding Logistic Regression Tables - Exercise.html	HTML	87 B
009 What do the Odds Actually Mean.mp4	MP4	11.38 MB
009 What do the Odds Actually Mean__en.srt	SRT	5.08 KB
010 Binary Predictors in a Logistic Regression.mp4	MP4	18.47 MB
010 Binary Predictors in a Logistic Regression__en.srt	SRT	5.7 KB
011 Binary Predictors in a Logistic Regression - Exercise.html	HTML	87 B
012 Calculating the Accuracy of the Model.mp4	MP4	20.28 MB
012 Calculating the Accuracy of the Model__en.srt	SRT	4.41 KB
013 Calculating the Accuracy of the Model.html	HTML	87 B
014 Underfitting and Overfitting.mp4	MP4	7.25 MB
014 Underfitting and Overfitting__en.srt	SRT	4.88 KB
015 Testing the Model.mp4	MP4	21.6 MB
015 Testing the Model__en.srt	SRT	6.46 KB
016 Testing the Model - Exercise.html	HTML	87 B
15451783-Example-bank-data.csv	CSV	6.21 KB
15451889-Bank-data.csv	CSV	19.55 KB
15451939-Bank-data.csv	CSV	19.55 KB
15451967-Bank-data.csv	CSV	19.55 KB
15452033-Bank-data.csv	CSV	19.55 KB
15452035-Bank-data-testing.csv	CSV	8.3 KB
23412976-Course-Notes-Logistic-Regression.pdf	PDF	335.17 KB
23413016-Course-Notes-Logistic-Regression.pdf	PDF	335.17 KB
29588638-2.01.Admittance.csv	CSV	1.58 KB
29588642-Admittance.ipynb	IPYNB	3.54 KB
29588644-Admittance-with-comments.ipynb	IPYNB	5.32 KB
29588660-Admittance-regression-tables-fixed-error.ipynb	IPYNB	4.11 KB
29588666-Admittance-regression.ipynb	IPYNB	2.09 KB
29588668-Admittance-regression-summary-error.ipynb	IPYNB	2.48 KB
29588676-Building-a-Logistic-Regression-Exercise.ipynb	IPYNB	2.92 KB
29588678-Building-a-Logistic-Regression-Solution.ipynb	IPYNB	4.44 KB
29588694-Understanding-Logistic-Regression-Tables-Exercise.ipynb	IPYNB	3.16 KB
29588700-Understanding-Logistic-Regression-Tables-Solution.ipynb	IPYNB	4.79 KB
29588712-2.02.Binary-predictors.csv	CSV	2.56 KB
29588716-Binary-predictors.ipynb	IPYNB	2.41 KB
29588826-Binary-Predictors-in-a-Logistic-Regression-Exercise.ipynb	IPYNB	2.54 KB
29588832-Binary-Predictors-in-a-Logistic-Regression-Solution.ipynb	IPYNB	4.51 KB
29588838-Accuracy.ipynb	IPYNB	3.63 KB
29588842-Accuracy-with-comments.ipynb	IPYNB	11.67 KB
29588854-Calculating-the-Accuracy-of-the-Model-Exercise.ipynb	IPYNB	5.39 KB
29588856-Calculating-the-Accuracy-of-the-Model-Solution.ipynb	IPYNB	81.21 KB
29588864-Testing-the-model.ipynb	IPYNB	5.77 KB
29588872-2.03.Test-dataset.csv	CSV	322 B
29588876-Testing-the-model-with-comments.ipynb	IPYNB	7.56 KB
29588894-Testing-the-Model-Exercise.ipynb	IPYNB	6.79 KB
29588898-Testing-the-Model-Solution.ipynb	IPYNB	111.1 KB

37 - Advanced Statistical Methods - Cluster Analysis

001 Introduction to Cluster Analysis.mp4	MP4	10.66 MB
001 Introduction to Cluster Analysis__en.srt	SRT	4.77 KB
002 Some Examples of Clusters.mp4	MP4	35.12 MB
002 Some Examples of Clusters__en.srt	SRT	6.2 KB
003 Difference between Classification and Clustering.mp4	MP4	9.53 MB
003 Difference between Classification and Clustering__en.srt	SRT	3.34 KB
004 Math Prerequisites.mp4	MP4	4.47 MB
004 Math Prerequisites__en.srt	SRT	4.18 KB
23413656-Course-Notes-Cluster-Analysis.pdf	PDF	208.65 KB
23413662-Course-Notes-Cluster-Analysis.pdf	PDF	208.65 KB

38 - Advanced Statistical Methods - K-Means Clustering

001 K-Means Clustering.mp4	MP4	10.53 MB
001 K-Means Clustering__en.srt	SRT	6.48 KB
002 A Simple Example of Clustering.mp4	MP4	26.08 MB
002 A Simple Example of Clustering__en.srt	SRT	902 B
002 A Simple Example of Clustering_en.vtt	VTT	8.25 KB
003 A Simple Example of Clustering - Exercise.html	HTML	87 B
004 Clustering Categorical Data.mp4	MP4	10.35 MB
004 Clustering Categorical Data__en.srt	SRT	3.32 KB
005 Clustering Categorical Data - Exercise.html	HTML	87 B
006 How to Choose the Number of Clusters.mp4	MP4	19.79 MB
006 How to Choose the Number of Clusters__en.srt	SRT	7.41 KB
007 How to Choose the Number of Clusters - Exercise.html	HTML	87 B
008 Pros and Cons of K-Means Clustering.mp4	MP4	10.93 MB
008 Pros and Cons of K-Means Clustering__en.srt	SRT	2.62 KB
008 Pros and Cons of K-Means Clustering_en.vtt	VTT	4.07 KB
009 To Standardize or not to Standardize.mp4	MP4	10.5 MB
009 To Standardize or not to Standardize__en.srt	SRT	6.08 KB
010 Relationship between Clustering and Regression.mp4	MP4	2.42 MB
010 Relationship between Clustering and Regression__en.srt	SRT	2.25 KB
011 Market Segmentation with Cluster Analysis (Part 1).mp4	MP4	21.16 MB
011 Market Segmentation with Cluster Analysis (Part 1)__en.srt	SRT	7.32 KB
012 Market Segmentation with Cluster Analysis (Part 2).mp4	MP4	34.08 MB
012 Market Segmentation with Cluster Analysis (Part 2)__en.srt	SRT	9.28 KB
013 How is Clustering Useful_.mp4	MP4	36.49 MB
013 How is Clustering Useful___en.srt	SRT	6.52 KB
014 EXERCISE_ Species Segmentation with Cluster Analysis (Part 1).html	HTML	87 B
015 EXERCISE_ Species Segmentation with Cluster Analysis (Part 2).html	HTML	87 B
15452987-Categorical.csv	CSV	10.34 KB
15453017-Countries-exercise.csv	CSV	8.27 KB
15453029-iris-dataset.csv	CSV	2.4 KB
15453055-iris-dataset.csv	CSV	2.4 KB
15453059-iris-with-answers.csv	CSV	3.63 KB
29588934-3.01.Country-clusters.csv	CSV	200 B
29588936-Country-clusters.ipynb	IPYNB	3.31 KB
29588940-Country-clusters-with-comments.ipynb	IPYNB	5.8 KB
29588950-Countries-exercise.csv	CSV	8.27 KB
29588952-A-Simple-Example-of-Clustering-Exercise.ipynb	IPYNB	3.62 KB
29588954-A-Simple-Example-of-Clustering-Solution.ipynb	IPYNB	4.65 KB
29588960-Categorical-data.ipynb	IPYNB	3.35 KB
29588968-Categorical-data-with-comments.ipynb	IPYNB	5.62 KB
29588982-Clustering-Categorical-Data-Exercise.ipynb	IPYNB	3.78 KB
29588986-Clustering-Categorical-Data-Solution.ipynb	IPYNB	4.9 KB
29588998-Selecting-the-number-of-clusters.ipynb	IPYNB	4.53 KB
29589000-Selecting-the-number-of-clusters-with-comments.ipynb	IPYNB	7.48 KB
29589006-How-to-Choose-the-Number-of-Clusters-Exercise.ipynb	IPYNB	5.55 KB
29589008-How-to-Choose-the-Number-of-Clusters-Solution.ipynb	IPYNB	8.49 KB
29589020-Market-segmentation-example.ipynb	IPYNB	3.8 KB
29589022-Market-segmentation-example-with-comments.ipynb	IPYNB	5.9 KB
29589028-3.12.Example.csv	CSV	283 B
29589036-Market-segmentation-example-Part2.ipynb	IPYNB	4.68 KB
29589038-Market-segmentation-example-Part2-with-comments.ipynb	IPYNB	6.81 KB
29589044-Species-Segmentation-with-Cluster-Analysis-Part-1-Exercise.ipynb	IPYNB	4.46 KB
29589048-Species-Segmentation-with-Cluster-Analysis-Part-1-Solution.ipynb	IPYNB	7.35 KB
29589052-Species-Segmentation-with-Cluster-Analysis-Part-2-Exercise.ipynb	IPYNB	10.74 KB
29589056-Species-Segmentation-with-Cluster-Analysis-Part-2-Solution.ipynb	IPYNB	15.3 KB

39 - Advanced Statistical Methods - Other Types of Clustering

001 Types of Clustering.mp4	MP4	7.57 MB
001 Types of Clustering__en.srt	SRT	4.74 KB
002 Dendrogram.mp4	MP4	17.34 MB
002 Dendrogram__en.srt	SRT	7.28 KB
003 Heatmaps.mp4	MP4	25.71 MB
003 Heatmaps__en.srt	SRT	6.24 KB
29589066-Heatmaps.ipynb	IPYNB	1.82 KB
29589070-Heatmaps-with-comments.ipynb	IPYNB	17.66 KB
29589074-Country-clusters-standardized.csv	CSV	244 B

40 - Part 6_ Mathematics

001 What is a Matrix_.mp4	MP4	11.7 MB
001 What is a Matrix___en.srt	SRT	4.42 KB
002 Scalars and Vectors.mp4	MP4	8.39 MB
002 Scalars and Vectors__en.srt	SRT	3.83 KB
003 Linear Algebra and Geometry.mp4	MP4	13.56 MB
003 Linear Algebra and Geometry__en.srt	SRT	4.07 KB
004 Arrays in Python - A Convenient Way To Represent Matrices.mp4	MP4	19.01 MB
004 Arrays in Python - A Convenient Way To Represent Matrices__en.srt	SRT	6.03 KB
005 What is a Tensor_.mp4	MP4	11.61 MB
005 What is a Tensor___en.srt	SRT	3.69 KB
006 Addition and Subtraction of Matrices.mp4	MP4	22.08 MB
006 Addition and Subtraction of Matrices__en.srt	SRT	4 KB
007 Errors when Adding Matrices.mp4	MP4	3.34 MB
007 Errors when Adding Matrices__en.srt	SRT	2.61 KB
008 Transpose of a Matrix.mp4	MP4	20.49 MB
008 Transpose of a Matrix__en.srt	SRT	5.71 KB
009 Dot Product.mp4	MP4	11.36 MB
009 Dot Product__en.srt	SRT	4.32 KB
010 Dot Product of Matrices.mp4	MP4	26.42 MB
010 Dot Product of Matrices__en.srt	SRT	9.57 KB
011 Why is Linear Algebra Useful_.mp4	MP4	86.18 MB
011 Why is Linear Algebra Useful___en.srt	SRT	12.42 KB
29589122-Scalars-Vectors-and-Matrices.ipynb	IPYNB	4.55 KB
29589126-Tensors.ipynb	IPYNB	2.08 KB
29589134-Adding-and-subtracting-matrices.ipynb	IPYNB	3.22 KB
29589174-Errors-when-adding-scalars-vectors-and-matrices-in-Python.ipynb	IPYNB	3.17 KB
29589180-Tranpose-of-a-matrix.ipynb	IPYNB	2.89 KB
29589188-Dot-product.ipynb	IPYNB	2.13 KB
29589194-Dot-product-Part-2.ipynb	IPYNB	3.6 KB

41 - Part 7_ Deep Learning

	001 What to Expect from this Part_.mp4	MP4	7.56 MB
	001 What to Expect from this Part___en.srt	SRT	4.61 KB

42 - Deep Learning - Introduction to Neural Networks

001 Introduction to Neural Networks.mp4	MP4	10.37 MB
001 Introduction to Neural Networks__en.srt	SRT	6.09 KB
002 Training the Model.mp4	MP4	7.57 MB
002 Training the Model__en.srt	SRT	4.42 KB
003 Types of Machine Learning.mp4	MP4	9.81 MB
003 Types of Machine Learning__en.srt	SRT	5.31 KB
004 The Linear Model (Linear Algebraic Version).mp4	MP4	7.87 MB
004 The Linear Model (Linear Algebraic Version)__en.srt	SRT	3.92 KB
005 The Linear Model with Multiple Inputs.mp4	MP4	7.77 MB
005 The Linear Model with Multiple Inputs__en.srt	SRT	3.21 KB
006 The Linear model with Multiple Inputs and Multiple Outputs.mp4	MP4	16.23 MB
006 The Linear model with Multiple Inputs and Multiple Outputs__en.srt	SRT	5.42 KB
007 Graphical Representation of Simple Neural Networks.mp4	MP4	6.35 MB
007 Graphical Representation of Simple Neural Networks__en.srt	SRT	2.83 KB
008 What is the Objective Function_.mp4	MP4	6.03 MB
008 What is the Objective Function___en.srt	SRT	2.13 KB
009 Common Objective Functions_ L2-norm Loss.mp4	MP4	4.47 MB
009 Common Objective Functions_ L2-norm Loss__en.srt	SRT	2.76 KB
010 Common Objective Functions_ Cross-Entropy Loss.mp4	MP4	9.68 MB
010 Common Objective Functions_ Cross-Entropy Loss__en.srt	SRT	5.63 KB
011 Optimization Algorithm_ 1-Parameter Gradient Descent.mp4	MP4	22.7 MB
011 Optimization Algorithm_ 1-Parameter Gradient Descent__en.srt	SRT	8.75 KB
012 Optimization Algorithm_ n-Parameter Gradient Descent.mp4	MP4	16.35 MB
012 Optimization Algorithm_ n-Parameter Gradient Descent__en.srt	SRT	7.75 KB
16752952-Course-Notes-Section-2.pdf	PDF	578.08 KB
16752958-Course-Notes-Section-2.pdf	PDF	578.08 KB
17187788-GD-function-example.xlsx	XLSX	42.33 KB

43 - Deep Learning - How to Build a Neural Network from Scratch with NumPy

001 Basic NN Example (Part 1).mp4	MP4	5.14 MB
001 Basic NN Example (Part 1)__en.srt	SRT	4.52 KB
002 Basic NN Example (Part 2).mp4	MP4	15.23 MB
002 Basic NN Example (Part 2)__en.srt	SRT	6.9 KB
003 Basic NN Example (Part 3).mp4	MP4	15.68 MB
003 Basic NN Example (Part 3)__en.srt	SRT	4.39 KB
004 Basic NN Example (Part 4).mp4	MP4	30.06 MB
004 Basic NN Example (Part 4)__en.srt	SRT	10.56 KB
005 Basic NN Example Exercises.html	HTML	1.65 KB
13070602-Shortcuts-for-Jupyter.pdf	PDF	619.17 KB
29589208-Minimal-example-Part-1.ipynb	IPYNB	1.19 KB
29589218-Minimal-example-Part-2.ipynb	IPYNB	3.65 KB
29589230-Minimal-example-Part-3.ipynb	IPYNB	6.79 KB
29589236-Minimal-example-Part-4-Complete.ipynb	IPYNB	11.41 KB
29589260-Minimal-example-All-Exercises.ipynb	IPYNB	12.89 KB
29589266-Minimal-example-Exercise-1-Solution.ipynb	IPYNB	69 KB
29589272-Minimal-example-Exercise-2-Solution.ipynb	IPYNB	61.41 KB
29589274-Minimal-example-Exercise-3.a.Solution.ipynb	IPYNB	67.89 KB
29589278-Minimal-example-Exercise-3.b.Solution.ipynb	IPYNB	67.72 KB
29589280-Minimal-example-Exercise-3.c.Solution.ipynb	IPYNB	70.13 KB
29589288-Minimal-example-Exercise-3.d.Solution.ipynb	IPYNB	84.13 KB
29589294-Minimal-example-Exercise-4-Solution.ipynb	IPYNB	66.52 KB
29589298-Minimal-example-Exercise-5-Solution.ipynb	IPYNB	68.88 KB
29589302-Minimal-example-Exercise-6.ipynb	IPYNB	61.76 KB
29589304-Minimal-example-Exercise-6-Solution.ipynb	IPYNB	61.76 KB

44 - Deep Learning - TensorFlow 2.0_ Introduction

001 How to Install TensorFlow 2.0.mp4	MP4	27.34 MB
001 How to Install TensorFlow 2.0__en.srt	SRT	6.52 KB
002 TensorFlow Outline and Comparison with Other Libraries.mp4	MP4	14.94 MB
002 TensorFlow Outline and Comparison with Other Libraries__en.srt	SRT	1.5 KB
002 TensorFlow Outline and Comparison with Other Libraries_en.vtt	VTT	4.74 KB
003 TensorFlow 1 vs TensorFlow 2.mp4	MP4	14.95 MB
003 TensorFlow 1 vs TensorFlow 2__en.srt	SRT	3.76 KB
004 A Note on TensorFlow 2 Syntax.mp4	MP4	2.34 MB
004 A Note on TensorFlow 2 Syntax__en.srt	SRT	1.41 KB
005 Types of File Formats Supporting TensorFlow.mp4	MP4	7.25 MB
005 Types of File Formats Supporting TensorFlow__en.srt	SRT	3.56 KB
006 Outlining the Model with TensorFlow 2.mp4	MP4	26.99 MB
006 Outlining the Model with TensorFlow 2__en.srt	SRT	7.99 KB
007 Interpreting the Result and Extracting the Weights and Bias.mp4	MP4	13.67 MB
007 Interpreting the Result and Extracting the Weights and Bias__en.srt	SRT	6.26 KB
008 Customizing a TensorFlow 2 Model.mp4	MP4	16.78 MB
008 Customizing a TensorFlow 2 Model__en.srt	SRT	4.2 KB
009 Basic NN with TensorFlow_ Exercises.html	HTML	1.28 KB
13070604-Shortcuts-for-Jupyter.pdf	PDF	619.17 KB
29589774-TensorFlow-Minimal-example-Part1.ipynb	IPYNB	1.66 KB
29589782-TensorFlow-Minimal-example-Part2.ipynb	IPYNB	9.06 KB
29589788-TensorFlow-Minimal-example-Part3.ipynb	IPYNB	76.52 KB
29589804-TensorFlow-Minimal-example-complete.ipynb	IPYNB	76.85 KB
29589808-TensorFlow-Minimal-example-complete-with-comments.ipynb	IPYNB	82.29 KB
29589822-TensorFlow-Minimal-example-All-exercises.ipynb	IPYNB	83.62 KB
29589824-TensorFlow-Minimal-example-Exercise-1-Solution.ipynb	IPYNB	27.96 KB
29589828-TensorFlow-Minimal-Example-Exercise-2-1-Solution.ipynb	IPYNB	83.68 KB
29589834-TensorFlow-Minimal-Example-Exercise-2-2-Solution.ipynb	IPYNB	77.52 KB
29589836-TensorFlow-Minimal-Example-Exercise-3-Solution.ipynb	IPYNB	84.44 KB

45 - Deep Learning - Digging Deeper into NNs_ Introducing Deep Neural Networks

001 What is a Layer_.mp4	MP4	3.47 MB
001 What is a Layer___en.srt	SRT	2.44 KB
002 What is a Deep Net_.mp4	MP4	11.06 MB
002 What is a Deep Net___en.srt	SRT	3.3 KB
003 Digging into a Deep Net.mp4	MP4	19.14 MB
003 Digging into a Deep Net__en.srt	SRT	6.73 KB
004 Non-Linearities and their Purpose.mp4	MP4	9.74 MB
004 Non-Linearities and their Purpose__en.srt	SRT	3.8 KB
005 Activation Functions.mp4	MP4	8.53 MB
005 Activation Functions__en.srt	SRT	5.33 KB
006 Activation Functions_ Softmax Activation.mp4	MP4	8.42 MB
006 Activation Functions_ Softmax Activation__en.srt	SRT	4.51 KB
007 Backpropagation.mp4	MP4	19.49 MB
007 Backpropagation__en.srt	SRT	4.48 KB
008 Backpropagation Picture.mp4	MP4	7.68 MB
008 Backpropagation Picture__en.srt	SRT	4.27 KB
009 Backpropagation - A Peek into the Mathematics of Optimization.html	HTML	539 B
13070016-Course-Notes-Section-6.pdf	PDF	936.42 KB
13070018-Course-Notes-Section-6.pdf	PDF	936.42 KB
21993772-Backpropagation-a-peek-into-the-Mathematics-of-Optimization.pdf	PDF	182.38 KB

46 - Deep Learning - Overfitting

001 What is Overfitting_.mp4	MP4	10.5 MB
001 What is Overfitting___en.srt	SRT	5.73 KB
002 Underfitting and Overfitting for Classification.mp4	MP4	13.53 MB
002 Underfitting and Overfitting for Classification__en.srt	SRT	2.69 KB
003 What is Validation_.mp4	MP4	8.14 MB
003 What is Validation___en.srt	SRT	4.9 KB
004 Training, Validation, and Test Datasets.mp4	MP4	7.74 MB
004 Training, Validation, and Test Datasets__en.srt	SRT	3.41 KB
005 N-Fold Cross Validation.mp4	MP4	5.14 MB
005 N-Fold Cross Validation__en.srt	SRT	4.29 KB
006 Early Stopping or When to Stop Training.mp4	MP4	8.5 MB
006 Early Stopping or When to Stop Training__en.srt	SRT	6.79 KB

47 - Deep Learning - Initialization

001 What is Initialization_.mp4	MP4	17.42 MB
001 What is Initialization___en.srt	SRT	3.6 KB
002 Types of Simple Initializations.mp4	MP4	5.73 MB
002 Types of Simple Initializations__en.srt	SRT	3.82 KB
003 State-of-the-Art Method - (Xavier) Glorot Initialization.mp4	MP4	4.18 MB
003 State-of-the-Art Method - (Xavier) Glorot Initialization__en.srt	SRT	3.67 KB

48 - Deep Learning - Digging into Gradient Descent and Learning Rate Schedules

001 Stochastic Gradient Descent.mp4	MP4	7.62 MB
001 Stochastic Gradient Descent__en.srt	SRT	4.74 KB
002 Problems with Gradient Descent.mp4	MP4	3.51 MB
002 Problems with Gradient Descent__en.srt	SRT	2.92 KB
003 Momentum.mp4	MP4	5.01 MB
003 Momentum__en.srt	SRT	3.59 KB
004 Learning Rate Schedules, or How to Choose the Optimal Learning Rate.mp4	MP4	12.03 MB
004 Learning Rate Schedules, or How to Choose the Optimal Learning Rate__en.srt	SRT	6.12 KB
005 Learning Rate Schedules Visualized.mp4	MP4	2.34 MB
005 Learning Rate Schedules Visualized__en.srt	SRT	2.14 KB
006 Adaptive Learning Rate Schedules (AdaGrad and RMSprop ).mp4	MP4	8.24 MB
006 Adaptive Learning Rate Schedules (AdaGrad and RMSprop )__en.srt	SRT	5.22 KB
007 Adam (Adaptive Moment Estimation).mp4	MP4	6.88 MB
007 Adam (Adaptive Moment Estimation)__en.srt	SRT	3.42 KB

49 - Deep Learning - Preprocessing

001 Preprocessing Introduction.mp4	MP4	8.98 MB
001 Preprocessing Introduction__en.srt	SRT	3.81 KB
002 Types of Basic Preprocessing.mp4	MP4	2.4 MB
002 Types of Basic Preprocessing__en.srt	SRT	1.72 KB
003 Standardization.mp4	MP4	11.95 MB
003 Standardization__en.srt	SRT	6.2 KB
004 Preprocessing Categorical Data.mp4	MP4	5.34 MB
004 Preprocessing Categorical Data__en.srt	SRT	2.86 KB
005 Binary and One-Hot Encoding.mp4	MP4	8.36 MB
005 Binary and One-Hot Encoding__en.srt	SRT	4.78 KB

50 - Deep Learning - Classifying on the MNIST Dataset

001 MNIST_ The Dataset.mp4	MP4	4.06 MB
001 MNIST_ The Dataset__en.srt	SRT	3.48 KB
002 MNIST_ How to Tackle the MNIST.mp4	MP4	7.66 MB
002 MNIST_ How to Tackle the MNIST__en.srt	SRT	3.78 KB
003 MNIST_ Importing the Relevant Packages and Loading the Data.mp4	MP4	12.24 MB
003 MNIST_ Importing the Relevant Packages and Loading the Data__en.srt	SRT	3.01 KB
004 MNIST_ Preprocess the Data - Create a Validation Set and Scale It.mp4	MP4	22.93 MB
004 MNIST_ Preprocess the Data - Create a Validation Set and Scale It__en.srt	SRT	6.61 KB
005 MNIST_ Preprocess the Data - Scale the Test Data - Exercise.html	HTML	79 B
006 MNIST_ Preprocess the Data - Shuffle and Batch.mp4	MP4	32.71 MB
006 MNIST_ Preprocess the Data - Shuffle and Batch__en.srt	SRT	9.49 KB
007 MNIST_ Preprocess the Data - Shuffle and Batch - Exercise.html	HTML	79 B
008 MNIST_ Outline the Model.mp4	MP4	22.09 MB
008 MNIST_ Outline the Model__en.srt	SRT	7.26 KB
009 MNIST_ Select the Loss and the Optimizer.mp4	MP4	10.65 MB
009 MNIST_ Select the Loss and the Optimizer__en.srt	SRT	3.18 KB
010 MNIST_ Learning.mp4	MP4	31.03 MB
010 MNIST_ Learning__en.srt	SRT	7.87 KB
011 MNIST - Exercises.html	HTML	1.98 KB
012 MNIST_ Testing the Model.mp4	MP4	22.64 MB
012 MNIST_ Testing the Model__en.srt	SRT	6.07 KB
29589868-TensorFlow-MNIST-Part1-with-comments.ipynb	IPYNB	3.97 KB
29589876-TensorFlow-MNIST-Part2-with-comments.ipynb	IPYNB	6.39 KB
29589878-TensorFlow-MNIST-Part3-with-comments.ipynb	IPYNB	8.61 KB
29589884-TensorFlow-MNIST-Part4-with-comments.ipynb	IPYNB	10.49 KB
29589888-TensorFlow-MNIST-Part5-with-comments.ipynb	IPYNB	10.99 KB
29589892-TensorFlow-MNIST-Part6-with-comments.ipynb	IPYNB	12.54 KB
29589896-1.TensorFlow-MNIST-Width-Solution.ipynb	IPYNB	14.84 KB
29589904-2.TensorFlow-MNIST-Depth-Solution.ipynb	IPYNB	15.31 KB
29589908-3.TensorFlow-MNIST-Width-and-Depth-Solution.ipynb	IPYNB	15.3 KB
29589912-4.TensorFlow-MNIST-Activation-functions-Part-1-Solution.ipynb	IPYNB	15.11 KB
29589920-5.TensorFlow-MNIST-Activation-functions-Part-2-Solution.ipynb	IPYNB	14.74 KB
29589928-6.TensorFlow-MNIST-Batch-size-Part-1-Solution.ipynb	IPYNB	15.12 KB
29589932-7.TensorFlow-MNIST-Batch-size-Part-2-Solution.ipynb	IPYNB	15.18 KB
29589934-8.TensorFlow-MNIST-Learning-rate-Part-1-Solution.ipynb	IPYNB	20.58 KB
29589940-9.TensorFlow-MNIST-Learning-rate-Part-2-Solution.ipynb	IPYNB	15.8 KB
29589948-TensorFlow-MNIST-All-Exercises.ipynb	IPYNB	16.65 KB
29589952-TensorFlow-MNIST-around-98-percent-accuracy.ipynb	IPYNB	15.02 KB
29589956-TensorFlow-MNIST-complete.ipynb	IPYNB	6.78 KB
29589960-TensorFlow-MNIST-complete-with-comments.ipynb	IPYNB	14.51 KB

51 - Deep Learning - Business Case Example

001 Business Case_ Exploring the Dataset and Identifying Predictors.mp4	MP4	51.38 MB
001 Business Case_ Exploring the Dataset and Identifying Predictors__en.srt	SRT	10.5 KB
002 Business Case_ Outlining the Solution.mp4	MP4	2.21 MB
002 Business Case_ Outlining the Solution__en.srt	SRT	1.93 KB
003 Business Case_ Balancing the Dataset.mp4	MP4	26.19 MB
003 Business Case_ Balancing the Dataset__en.srt	SRT	4.72 KB
004 Business Case_ Preprocessing the Data.mp4	MP4	73.82 MB
004 Business Case_ Preprocessing the Data__en.srt	SRT	348 B
004 Business Case_ Preprocessing the Data_en.vtt	VTT	11.73 KB
005 Business Case_ Preprocessing the Data - Exercise.html	HTML	370 B
006 Business Case_ Load the Preprocessed Data.mp4	MP4	13.8 MB
006 Business Case_ Load the Preprocessed Data__en.srt	SRT	4.83 KB
007 Business Case_ Load the Preprocessed Data - Exercise.html	HTML	79 B
008 Business Case_ Learning and Interpreting the Result.mp4	MP4	27.77 MB
008 Business Case_ Learning and Interpreting the Result__en.srt	SRT	6.28 KB
009 Business Case_ Setting an Early Stopping Mechanism.mp4	MP4	43.81 MB
009 Business Case_ Setting an Early Stopping Mechanism__en.srt	SRT	7.93 KB
010 Setting an Early Stopping Mechanism - Exercise.html	HTML	192 B
011 Business Case_ Testing the Model.mp4	MP4	8.19 MB
011 Business Case_ Testing the Model__en.srt	SRT	2.21 KB
012 Business Case_ Final Exercise.html	HTML	433 B
19664156-Audiobooks-data.csv	CSV	710.77 KB
29589970-TensorFlow-Audiobooks-Preprocessing.ipynb	IPYNB	5.58 KB
29589978-TensorFlow-Audiobooks-Preprocessing-with-comments.ipynb	IPYNB	11.19 KB
29589984-TensorFlow-Audiobooks-Preprocessing-Exercise.ipynb	IPYNB	8.6 KB
29589992-TensorFlow-Audiobooks-Preprocessing-Exercise-Solution.ipynb	IPYNB	10.04 KB
29590000-TensorFlow-Audiobooks-Machine-Learning-Part1-with-comments.ipynb	IPYNB	4.61 KB
29590002-TensorFlow-Audiobooks-Machine-Learning-Part2-with-comments.ipynb	IPYNB	19.69 KB
29590006-TensorFlow-Audiobooks-Machine-Learning-Part3-with-comments.ipynb	IPYNB	10.06 KB
29590012-TensorFlow-Audiobooks-Machine-Learning-with-comments.ipynb	IPYNB	11.95 KB
29590020-TensorFlow-Audiobooks-Machine-Learning-with-comments.ipynb	IPYNB	11.95 KB

52 - Deep Learning - Conclusion

001 Summary on What You've Learned.mp4	MP4	9.66 MB
001 Summary on What You've Learned__en.srt	SRT	5.25 KB
002 What's Further out there in terms of Machine Learning.mp4	MP4	3.71 MB
002 What's Further out there in terms of Machine Learning__en.srt	SRT	2.64 KB
003 DeepMind and Deep Learning.html	HTML	1.04 KB
004 An overview of CNNs.mp4	MP4	30.47 MB
004 An overview of CNNs__en.srt	SRT	6.71 KB
005 An Overview of RNNs.mp4	MP4	6.75 MB
005 An Overview of RNNs__en.srt	SRT	3.77 KB
006 An Overview of non-NN Approaches.mp4	MP4	15.65 MB
006 An Overview of non-NN Approaches__en.srt	SRT	5.28 KB

53 - Appendix_ Deep Learning - TensorFlow 1_ Introduction

001 READ ME____.html	HTML	564 B
002 How to Install TensorFlow 1.mp4	MP4	3.71 MB
002 How to Install TensorFlow 1__en.srt	SRT	2.7 KB
002 How to Install TensorFlow 1_en.vtt	VTT	2.91 KB
003 A Note on Installing Packages in Anaconda.html	HTML	2.28 KB
004 TensorFlow Intro.mp4	MP4	16.56 MB
004 TensorFlow Intro__en.srt	SRT	1.37 KB
004 TensorFlow Intro_en.vtt	VTT	4.61 KB
005 Actual Introduction to TensorFlow.mp4	MP4	6.17 MB
005 Actual Introduction to TensorFlow__en.srt	SRT	2.29 KB
006 Types of File Formats, supporting Tensors.mp4	MP4	8.9 MB
006 Types of File Formats, supporting Tensors__en.srt	SRT	3.3 KB
007 Basic NN Example with TF_ Inputs, Outputs, Targets, Weights, Biases.mp4	MP4	28 MB
007 Basic NN Example with TF_ Inputs, Outputs, Targets, Weights, Biases__en.srt	SRT	7.56 KB
008 Basic NN Example with TF_ Loss Function and Gradient Descent.mp4	MP4	15.72 MB
008 Basic NN Example with TF_ Loss Function and Gradient Descent__en.srt	SRT	4.77 KB
009 Basic NN Example with TF_ Model Output.mp4	MP4	17.09 MB
009 Basic NN Example with TF_ Model Output__en.srt	SRT	7.7 KB
010 Basic NN Example with TF Exercises.html	HTML	1.58 KB
13070608-Shortcuts-for-Jupyter.pdf	PDF	619.17 KB
29590038-5.3.TensorFlow-Minimal-example-Part-1.ipynb	IPYNB	3.36 KB
29590046-5.4.TensorFlow-Minimal-example-Part-2.ipynb	IPYNB	6.17 KB
29591380-5.5.TensorFlow-Minimal-example-Part-3.ipynb	IPYNB	8.65 KB
29591408-5.6.TensorFlow-Minimal-example-complete.ipynb	IPYNB	12.15 KB
29591428-TensorFlow-Minimal-Example-All-Exercises.ipynb	IPYNB	13.97 KB
29591432-TensorFlow-Minimal-Example-Exercise-1-Solution.ipynb	IPYNB	23.63 KB
29591442-TensorFlow-Minimal-Example-Exercise-2-1-Solution.ipynb	IPYNB	25.54 KB
29591444-TensorFlow-Minimal-Example-Exercise-2-2-Solution.ipynb	IPYNB	25.51 KB
29591454-TensorFlow-Minimal-Example-Exercise-2-3-Solution.ipynb	IPYNB	49.96 KB
29591458-TensorFlow-Minimal-Example-Exercise-2-4-Solution.ipynb	IPYNB	21.75 KB
29591464-TensorFlow-Minimal-Example-Exercise-3-Solution.ipynb	IPYNB	26.71 KB
29591468-TensorFlow-Minimal-Example-Exercise-4-Solution.ipynb	IPYNB	26.98 KB

54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset

001 MNIST_ What is the MNIST Dataset_.mp4	MP4	4.23 MB
001 MNIST_ What is the MNIST Dataset___en.srt	SRT	3.52 KB
002 MNIST_ How to Tackle the MNIST.mp4	MP4	7.68 MB
002 MNIST_ How to Tackle the MNIST__en.srt	SRT	3.72 KB
003 MNIST_ Relevant Packages.mp4	MP4	7.88 MB
003 MNIST_ Relevant Packages__en.srt	SRT	2.25 KB
004 MNIST_ Model Outline.mp4	MP4	34.69 MB
004 MNIST_ Model Outline__en.srt	SRT	8.95 KB
005 MNIST_ Loss and Optimization Algorithm.mp4	MP4	11.56 MB
005 MNIST_ Loss and Optimization Algorithm__en.srt	SRT	3.6 KB
006 Calculating the Accuracy of the Model.mp4	MP4	16.64 MB
006 Calculating the Accuracy of the Model__en.srt	SRT	5.34 KB
007 MNIST_ Batching and Early Stopping.mp4	MP4	8.7 MB
007 MNIST_ Batching and Early Stopping__en.srt	SRT	2.83 KB
008 MNIST_ Learning.mp4	MP4	31.88 MB
008 MNIST_ Learning__en.srt	SRT	9.95 KB
009 MNIST_ Results and Testing.mp4	MP4	38.19 MB
009 MNIST_ Results and Testing__en.srt	SRT	8.33 KB
010 MNIST_ Exercises.html	HTML	2.16 KB
011 MNIST_ Solutions.html	HTML	2.22 KB
29591484-12.3.TensorFlow-MNIST-with-comments-Part-1.ipynb	IPYNB	3.89 KB
29591494-12.4.TensorFlow-MNIST-with-comments-Part-2.ipynb	IPYNB	6.1 KB
29591504-12.5.TensorFlow-MNIST-with-comments-Part-3.ipynb	IPYNB	7.31 KB
29591514-12.6.TensorFlow-MNIST-with-comments-Part-4.ipynb	IPYNB	7.9 KB
29591520-12.7.TensorFlow-MNIST-with-comments-Part-5.ipynb	IPYNB	8.53 KB
29591538-12.8.TensorFlow-MNIST-with-comments-Part-6.ipynb	IPYNB	11.5 KB
29591550-12.9.TensorFlow-MNIST-with-comments.ipynb	IPYNB	13.03 KB
29591622-TensorFlow-MNIST-Exercises-All.ipynb	IPYNB	15.47 KB
29591632-0.TensorFlow-MNIST-take-note-of-time-Solution.ipynb	IPYNB	14 KB
29591642-1.TensorFlow-MNIST-Width-Solution.ipynb	IPYNB	14.01 KB
29591650-2.TensorFlow-MNIST-Depth-Solution.ipynb	IPYNB	14.87 KB
29591654-3.TensorFlow-MNIST-Width-and-Depth-Solution.ipynb	IPYNB	16.81 KB
29591658-4.TensorFlow-MNIST-Activation-functions-Part-1-Solution.ipynb	IPYNB	14.35 KB
29591660-5.TensorFlow-MNIST-Activation-functions-Part-2-Solution.ipynb	IPYNB	13.93 KB
29591668-6.TensorFlow-MNIST-Batch-size-Part-1-Solution.ipynb	IPYNB	14.26 KB
29591682-7.TensorFlow-MNIST-Batch-size-Part-2-Solution.ipynb	IPYNB	14.16 KB
29591686-8.TensorFlow-MNIST-Learning-rate-Part-1-Solution.ipynb	IPYNB	14.07 KB
29591690-9.TensorFlow-MNIST-Learning-rate-Part-2-Solution.ipynb	IPYNB	15.21 KB
29591694-TensorFlow-MNIST-around-98-percent-accuracy.ipynb	IPYNB	17.66 KB

55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case

001 Business Case_ Getting Acquainted with the Dataset.mp4	MP4	60.26 MB
001 Business Case_ Getting Acquainted with the Dataset__en.srt	SRT	10.62 KB
002 Business Case_ Outlining the Solution.mp4	MP4	2.89 MB
002 Business Case_ Outlining the Solution__en.srt	SRT	2.5 KB
003 The Importance of Working with a Balanced Dataset.mp4	MP4	21.6 MB
003 The Importance of Working with a Balanced Dataset__en.srt	SRT	4.72 KB
004 Business Case_ Preprocessing.mp4	MP4	74.39 MB
004 Business Case_ Preprocessing__en.srt	SRT	348 B
004 Business Case_ Preprocessing_en.vtt	VTT	11.75 KB
005 Business Case_ Preprocessing Exercise.html	HTML	379 B
006 Creating a Data Provider.mp4	MP4	56.23 MB
006 Creating a Data Provider__en.srt	SRT	7.77 KB
007 Business Case_ Model Outline.mp4	MP4	42.48 MB
007 Business Case_ Model Outline__en.srt	SRT	7.09 KB
008 Business Case_ Optimization.mp4	MP4	26.95 MB
008 Business Case_ Optimization__en.srt	SRT	6.46 KB
009 Business Case_ Interpretation.mp4	MP4	18.59 MB
009 Business Case_ Interpretation__en.srt	SRT	2.91 KB
010 Business Case_ Testing the Model.mp4	MP4	4.39 MB
010 Business Case_ Testing the Model__en.srt	SRT	2.7 KB
011 Business Case_ A Comment on the Homework.mp4	MP4	19.64 MB
011 Business Case_ A Comment on the Homework__en.srt	SRT	4.81 KB
011 Business Case_ A Comment on the Homework_en.vtt	VTT	4.64 KB
012 Business Case_ Final Exercise.html	HTML	441 B
13070978-Audiobooks-data.csv	CSV	710.77 KB
29591716-Audiobooks-data.csv	CSV	710.77 KB
29591732-Audiobooks-data.csv	CSV	710.77 KB
29591734-TensorFlow-Audiobooks-Preprocessing.ipynb	IPYNB	5.58 KB
29591738-TensorFlow-Audiobooks-Preprocessing-with-comments.ipynb	IPYNB	11.19 KB
29591808-Audiobooks-data.csv	CSV	710.77 KB
29591812-TensorFlow-Audiobooks-Machine-learning-Homework.ipynb	IPYNB	14.4 KB
29591820-TensorFlow-Audiobooks-Preprocessing-with-comments.ipynb	IPYNB	11.19 KB
29591842-Audiobooks-data.csv	CSV	710.77 KB
29591844-TensorFlow-Audiobooks-Machine-learning-Homework.ipynb	IPYNB	14.4 KB
29591846-TensorFlow-Audiobooks-Preprocessing-with-comments.ipynb	IPYNB	11.19 KB
29591888-TensorFlow-Audiobooks-optimizing-the-algorithm.ipynb	IPYNB	10.64 KB
29591892-TensorFlow-Audiobooks-optimizing-the-algorithm-with-comments.ipynb	IPYNB	12.73 KB
29591894-TensorFlow-Audiobooks-optimizing-the-algorithm.ipynb	IPYNB	10.64 KB
29591900-TensorFlow-Audiobooks-optimizing-the-algorithm-with-comments.ipynb	IPYNB	12.73 KB
29591906-TensorFlow-Audiobooks-Outlining-the-model.ipynb	IPYNB	9.36 KB
29591910-TensorFlow-Audiobooks-Outlining-the-model-with-comments.ipynb	IPYNB	10.34 KB
29591940-Audiobooks-data.csv	CSV	710.77 KB
29591944-TensorFlow-Audiobooks-Preprocessing-Exercise.ipynb	IPYNB	8.6 KB
29591948-TensorFlow-Audiobooks-Preprocessing-Exercise-Solution.ipynb	IPYNB	10.03 KB

56 - Software Integration

001 What are Data, Servers, Clients, Requests, and Responses.mp4	MP4	19.17 MB
001 What are Data, Servers, Clients, Requests, and Responses__en.srt	SRT	5.92 KB
002 What are Data Connectivity, APIs, and Endpoints_.mp4	MP4	58.83 MB
002 What are Data Connectivity, APIs, and Endpoints___en.srt	SRT	8.51 KB
003 Taking a Closer Look at APIs.mp4	MP4	65.29 MB
003 Taking a Closer Look at APIs__en.srt	SRT	10.6 KB
004 Communication between Software Products through Text Files.mp4	MP4	9.28 MB
004 Communication between Software Products through Text Files__en.srt	SRT	5.51 KB
005 Software Integration - Explained.mp4	MP4	41.99 MB
005 Software Integration - Explained__en.srt	SRT	6.85 KB

57 - Case Study - What's Next in the Course_

001 Game Plan for this Python, SQL, and Tableau Business Exercise.mp4	MP4	15.8 MB
001 Game Plan for this Python, SQL, and Tableau Business Exercise__en.srt	SRT	5.54 KB
002 The Business Task.mp4	MP4	6.8 MB
002 The Business Task__en.srt	SRT	3.72 KB
003 Introducing the Data Set.mp4	MP4	15.29 MB
003 Introducing the Data Set__en.srt	SRT	4.13 KB

58 - Case Study - Preprocessing the 'Absenteeism_data'

001 What to Expect from the Following Sections_.html	HTML	2.43 KB
002 Importing the Absenteeism Data in Python.mp4	MP4	18.03 MB
002 Importing the Absenteeism Data in Python__en.srt	SRT	3.89 KB
003 Checking the Content of the Data Set.mp4	MP4	54.27 MB
003 Checking the Content of the Data Set__en.srt	SRT	7.12 KB
004 Introduction to Terms with Multiple Meanings.mp4	MP4	18.04 MB
004 Introduction to Terms with Multiple Meanings__en.srt	SRT	4.09 KB
005 What's Regression Analysis - a Quick Refresher.html	HTML	2.8 KB
006 Using a Statistical Approach towards the Solution to the Exercise.mp4	MP4	9.9 MB
006 Using a Statistical Approach towards the Solution to the Exercise__en.srt	SRT	2.93 KB
007 Dropping a Column from a DataFrame in Python.mp4	MP4	41.3 MB
007 Dropping a Column from a DataFrame in Python__en.srt	SRT	7.75 KB
008 EXERCISE - Dropping a Column from a DataFrame in Python.html	HTML	864 B
009 SOLUTION - Dropping a Column from a DataFrame in Python.html	HTML	114 B
010 Analyzing the Reasons for Absence.mp4	MP4	27.63 MB
010 Analyzing the Reasons for Absence__en.srt	SRT	6.18 KB
011 Obtaining Dummies from a Single Feature.mp4	MP4	63.77 MB
011 Obtaining Dummies from a Single Feature__en.srt	SRT	10.28 KB
012 EXERCISE - Obtaining Dummies from a Single Feature.html	HTML	123 B
013 SOLUTION - Obtaining Dummies from a Single Feature.html	HTML	117 B
014 Dropping a Dummy Variable from the Data Set.html	HTML	2.31 KB
015 More on Dummy Variables_ A Statistical Perspective.mp4	MP4	3.18 MB
015 More on Dummy Variables_ A Statistical Perspective__en.srt	SRT	1.74 KB
016 Classifying the Various Reasons for Absence.mp4	MP4	51.32 MB
016 Classifying the Various Reasons for Absence__en.srt	SRT	10.05 KB
017 Using .concat() in Python.mp4	MP4	19.77 MB
017 Using .concat() in Python__en.srt	SRT	5.23 KB
018 EXERCISE - Using .concat() in Python.html	HTML	189 B
019 SOLUTION - Using .concat() in Python.html	HTML	143 B
020 Reordering Columns in a Pandas DataFrame in Python.mp4	MP4	7.18 MB
020 Reordering Columns in a Pandas DataFrame in Python__en.srt	SRT	1.87 KB
021 EXERCISE - Reordering Columns in a Pandas DataFrame in Python.html	HTML	161 B
022 SOLUTION - Reordering Columns in a Pandas DataFrame in Python.html	HTML	478 B
023 Creating Checkpoints while Coding in Jupyter.mp4	MP4	17.34 MB
023 Creating Checkpoints while Coding in Jupyter__en.srt	SRT	3.72 KB
024 EXERCISE - Creating Checkpoints while Coding in Jupyter.html	HTML	137 B
025 SOLUTION - Creating Checkpoints while Coding in Jupyter.html	HTML	118 B
026 Analyzing the Dates from the Initial Data Set.mp4	MP4	40.13 MB
026 Analyzing the Dates from the Initial Data Set__en.srt	SRT	8.55 KB
027 Extracting the Month Value from the _Date_ Column.mp4	MP4	38.91 MB
027 Extracting the Month Value from the _Date_ Column__en.srt	SRT	7.93 KB
028 Extracting the Day of the Week from the _Date_ Column.mp4	MP4	9.12 MB
028 Extracting the Day of the Week from the _Date_ Column__en.srt	SRT	4.4 KB
029 EXERCISE - Removing the _Date_ Column.html	HTML	1.14 KB
030 Analyzing Several _Straightforward_ Columns for this Exercise.mp4	MP4	12.23 MB
030 Analyzing Several _Straightforward_ Columns for this Exercise__en.srt	SRT	4.43 KB
031 Working on _Education_, _Children_, and _Pets_.mp4	MP4	19.69 MB
031 Working on _Education_, _Children_, and _Pets___en.srt	SRT	5.65 KB
032 Final Remarks of this Section.mp4	MP4	17.04 MB
032 Final Remarks of this Section__en.srt	SRT	2.52 KB
033 A Note on Exporting Your Data as a _.csv File.html	HTML	880 B
15271310-Absenteeism-data.csv	CSV	32.05 KB
15271322-data-preprocessing-homework.pdf	PDF	134.47 KB
15271330-df-preprocessed.csv	CSV	29.11 KB
29545298-Absenteeism-Exercise-Preprocessing-df-reason-mod.ipynb	IPYNB	4.82 KB
29545314-Absenteeism-Exercise-Preprocessing-ChP-df-date-reason-mod.ipynb	IPYNB	7.33 KB
29545316-Absenteeism-Exercise-Removing-the-Date-Column-SOLUTION.ipynb	IPYNB	8.33 KB
29545318-Absenteeism-Exercise-Preprocessing-LECTURES.ipynb	IPYNB	7.6 MB
29545334-Absenteeism-Exercise-Preprocessing-df-preprocessed.ipynb	IPYNB	8.51 KB
29545338-Absenteeism-Exercise-EXERCISES-and-SOLUTIONS.ipynb	IPYNB	4.13 KB

59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'

001 Exploring the Problem with a Machine Learning Mindset.mp4	MP4	11.08 MB
001 Exploring the Problem with a Machine Learning Mindset__en.srt	SRT	4.63 KB
002 Creating the Targets for the Logistic Regression.mp4	MP4	32.5 MB
002 Creating the Targets for the Logistic Regression__en.srt	SRT	8.56 KB
003 Selecting the Inputs for the Logistic Regression.mp4	MP4	4.64 MB
003 Selecting the Inputs for the Logistic Regression__en.srt	SRT	3.42 KB
004 Standardizing the Data.mp4	MP4	15.14 MB
004 Standardizing the Data__en.srt	SRT	4.16 KB
005 Splitting the Data for Training and Testing.mp4	MP4	36.12 MB
005 Splitting the Data for Training and Testing__en.srt	SRT	8.47 KB
006 Fitting the Model and Assessing its Accuracy.mp4	MP4	35.29 MB
006 Fitting the Model and Assessing its Accuracy__en.srt	SRT	1.36 KB
006 Fitting the Model and Assessing its Accuracy_en.vtt	VTT	6.35 KB
007 Creating a Summary Table with the Coefficients and Intercept.mp4	MP4	26.98 MB
007 Creating a Summary Table with the Coefficients and Intercept__en.srt	SRT	6.66 KB
008 Interpreting the Coefficients for Our Problem.mp4	MP4	34.41 MB
008 Interpreting the Coefficients for Our Problem__en.srt	SRT	8.04 KB
009 Standardizing only the Numerical Variables (Creating a Custom Scaler).mp4	MP4	28.02 MB
009 Standardizing only the Numerical Variables (Creating a Custom Scaler)__en.srt	SRT	4.98 KB
010 Interpreting the Coefficients of the Logistic Regression.mp4	MP4	15.22 MB
010 Interpreting the Coefficients of the Logistic Regression__en.srt	SRT	7.3 KB
011 Backward Elimination or How to Simplify Your Model.mp4	MP4	31.96 MB
011 Backward Elimination or How to Simplify Your Model__en.srt	SRT	925 B
011 Backward Elimination or How to Simplify Your Model_en.vtt	VTT	4.58 KB
012 Testing the Model We Created.mp4	MP4	31.63 MB
012 Testing the Model We Created__en.srt	SRT	6.51 KB
013 Saving the Model and Preparing it for Deployment.mp4	MP4	25.52 MB
013 Saving the Model and Preparing it for Deployment__en.srt	SRT	1.23 KB
013 Saving the Model and Preparing it for Deployment_en.vtt	VTT	4.96 KB
014 ARTICLE - A Note on 'pickling'.html	HTML	2.11 KB
015 EXERCISE - Saving the Model (and Scaler).html	HTML	284 B
016 Preparing the Deployment of the Model through a Module.mp4	MP4	28.57 MB
016 Preparing the Deployment of the Model through a Module__en.srt	SRT	5.51 KB
15364076-Absenteeism-preprocessed.csv	CSV	29.13 KB
external-assets-links.txt	TXT	774 B

60 - Case Study - Loading the 'absenteeism_module'

001 Are You Sure You're All Set_.html	HTML	513 B
002 Deploying the 'absenteeism_module' - Part I.mp4	MP4	8.38 MB
002 Deploying the 'absenteeism_module' - Part I__en.srt	SRT	4.86 KB
003 Deploying the 'absenteeism_module' - Part II.mp4	MP4	25.99 MB
003 Deploying the 'absenteeism_module' - Part II__en.srt	SRT	429 B
003 Deploying the 'absenteeism_module' - Part II_en.vtt	VTT	6.76 KB
004 Exporting the Obtained Data Set as a _.csv.html	HTML	964 B
29545348-Absenteeism-Exercise-Deploying-the-absenteeism-module.ipynb	IPYNB	973 B
29545372-Absenteeism-Exercise-Integration.ipynb	IPYNB	62.35 KB
29545374-absenteeism-module.py	PY	6.62 KB
29545382-Absenteeism-new-data.csv	CSV	1.87 KB
29545384-model		1.01 KB
29545388-scaler		1.86 KB

61 - Case Study - Analyzing the Predicted Outputs in Tableau

001 EXERCISE - Age vs Probability.html	HTML	367 B
002 Analyzing Age vs Probability in Tableau.mp4	MP4	38.69 MB
002 Analyzing Age vs Probability in Tableau__en.srt	SRT	10.22 KB
003 EXERCISE - Reasons vs Probability.html	HTML	385 B
004 Analyzing Reasons vs Probability in Tableau.mp4	MP4	40.24 MB
004 Analyzing Reasons vs Probability in Tableau__en.srt	SRT	9.68 KB
005 EXERCISE - Transportation Expense vs Probability.html	HTML	529 B
006 Analyzing Transportation Expense vs Probability in Tableau.mp4	MP4	10.87 MB
006 Analyzing Transportation Expense vs Probability in Tableau__en.srt	SRT	7.36 KB
24453624-Absenteeism-predictions.csv	CSV	2.1 KB
29545266-Absenteeism-predictions.csv	CSV	2.1 KB

62 - Appendix - Additional Python Tools

001 Using the .format() Method.mp4	MP4	21.67 MB
001 Using the .format() Method__en.srt	SRT	12.34 KB
002 Iterating Over Range Objects.mp4	MP4	7.85 MB
002 Iterating Over Range Objects__en.srt	SRT	6.04 KB
003 Introduction to Nested For Loops.mp4	MP4	12.26 MB
003 Introduction to Nested For Loops__en.srt	SRT	8.3 KB
004 Triple Nested For Loops.mp4	MP4	19.4 MB
004 Triple Nested For Loops__en.srt	SRT	8 KB
005 List Comprehensions.mp4	MP4	43.23 MB
005 List Comprehensions__en.srt	SRT	12.35 KB
006 Anonymous (Lambda) Functions.mp4	MP4	33.71 MB
006 Anonymous (Lambda) Functions__en.srt	SRT	9.89 KB
29535536-Additional-Python-Tools-Lectures.ipynb	IPYNB	13.47 KB
29535540-Additional-Python-Tools-Exercises.ipynb	IPYNB	11.37 KB
29535546-Additional-Python-Tools-Solutions.ipynb	IPYNB	25.49 KB
29535548-Additional-Python-Tools-Lectures.ipynb	IPYNB	13.47 KB
29535552-Additional-Python-Tools-Exercises.ipynb	IPYNB	11.37 KB
29535554-Additional-Python-Tools-Solutions.ipynb	IPYNB	25.49 KB

63 - Appendix - pandas Fundamentals

001 Introduction to pandas Series.mp4	MP4	22.22 MB
001 Introduction to pandas Series__en.srt	SRT	10.67 KB
002 Working with Methods in Python - Part I.mp4	MP4	16.8 MB
002 Working with Methods in Python - Part I__en.srt	SRT	6.92 KB
003 Working with Methods in Python - Part II.mp4	MP4	5.77 MB
003 Working with Methods in Python - Part II__en.srt	SRT	3.6 KB
004 Parameters and Arguments in pandas.mp4	MP4	15.45 MB
004 Parameters and Arguments in pandas__en.srt	SRT	5.5 KB
005 Using .unique() and .nunique().mp4	MP4	26.33 MB
005 Using .unique() and .nunique()__en.srt	SRT	5.58 KB
006 Using .sort_values().mp4	MP4	13.2 MB
006 Using .sort_values()__en.srt	SRT	5.54 KB
007 Introduction to pandas DataFrames - Part I.mp4	MP4	10.6 MB
007 Introduction to pandas DataFrames - Part I__en.srt	SRT	7.08 KB
008 Introduction to pandas DataFrames - Part II.mp4	MP4	17.83 MB
008 Introduction to pandas DataFrames - Part II__en.srt	SRT	7.61 KB
009 pandas DataFrames - Common Attributes.mp4	MP4	29.8 MB
009 pandas DataFrames - Common Attributes__en.srt	SRT	6.25 KB
010 Data Selection in pandas DataFrames.mp4	MP4	37.28 MB
010 Data Selection in pandas DataFrames__en.srt	SRT	10.04 KB
011 pandas DataFrames - Indexing with .iloc[].mp4	MP4	23.54 MB
011 pandas DataFrames - Indexing with .iloc[]__en.srt	SRT	8.07 KB
012 pandas DataFrames - Indexing with .loc[].mp4	MP4	20.72 MB
012 pandas DataFrames - Indexing with .loc[]__en.srt	SRT	5.51 KB

64 - Bonus Lecture

	001 Bonus Lecture_ Next Steps.html	HTML	2.84 KB
	35215106-365-Data-Science-Data-Science-Interview-Questions-Guide.pdf	PDF	15.56 MB

Download Paid Udemy Courses For Free.url

URL

116 B

GetFreeCourses.Co.url

URL

116 B

How you can help GetFreeCourses.Co.txt

TXT

182 B

Description

									Show full description
								

Related Torrents

TORRENT NAME	SIZE	FILES	AGE	SEED	LEECH	SOURCE
Udemy - Data Structures and Algorithms In Java - The Complete Guide Posted by freecoursewb in Other Posted in Other 0 298.9 MB 6 months ago freecoursewb	Size 298.9 MB	Files 9	Age 6 months ago	Seeds 0	Leechs 0	Source
Udemy - Data Lineage Made Simple - The Blueprint for Trustworthy Data Posted by freecoursewb in Other Posted in Other 0 363.6 MB 6 months ago freecoursewb	Size 363.6 MB	Files 13	Age 6 months ago	Seeds 0	Leechs 0	Source
Udemy - Build the Perfect Data Stack for Analytics Engineering Posted by freecoursewb in Other Posted in Other 0 2.8 GB 7 months ago freecoursewb	Size 2.8 GB	Files 95	Age 7 months ago	Seeds 0	Leechs 0	Source
Udemy - Navigating the AI Universe - Data Science to Agentic AI (MAP) Posted by freecoursewb in Other Posted in Other 4 2 GB 9 months ago freecoursewb	Size 2 GB	Files 51	Age 9 months ago	Seeds 4	Leechs 2	Source
Udemy - Data Governance in the Age of AI Posted by freecoursewb in Other Posted in Other 0 562 MB 9 months ago freecoursewb	Size 562 MB	Files 30	Age 9 months ago	Seeds 0	Leechs 0	Source

The Data Science Course 2022: Complete Data Science Bootcamp

Torrent Contents Size: 7.79 GB

Description

Related Torrents

Location

Trackers

Latest News

Latest Searches

Sites In Our Index

Popular Tags