Download Udemy - The Data Science Course 2020 Complete Data Science Bootcamp Torrent

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Udemy - The Data Science Course 2020 Complete Data Science Bootcamp

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1. Part 1 Introduction

1. A Practical Example What You Will Learn in This Course.mp4	MP4	49.03 MB
1. A Practical Example What You Will Learn in This Course.srt	SRT	6.37 KB
2. What Does the Course Cover.mp4	MP4	62.26 MB
2. What Does the Course Cover.srt	SRT	5.08 KB
3. Download All Resources and Important FAQ.html	HTML	21.35 KB
3.1 FAQ_The_Data_Science_Course.pdf.pdf	PDF	306.1 KB
3.2 Download All Resources.html	HTML	134 B

10. Probability - Combinatorics

1. Fundamentals of Combinatorics.mp4	MP4	16.21 MB
1. Fundamentals of Combinatorics.srt	SRT	1.3 KB
1.1 Course Notes - Combinatorics.pdf.pdf	PDF	226.12 KB
10. Solving Variations without Repetition.html	HTML	165 B
11. Solving Combinations.mp4	MP4	57.34 MB
11. Solving Combinations.srt	SRT	5.61 KB
11.1 Combinations With Repetition.pdf.pdf	PDF	207.41 KB
12. Solving Combinations.html	HTML	165 B
13. Symmetry of Combinations.mp4	MP4	40.31 MB
13. Symmetry of Combinations.srt	SRT	4.3 KB
13.1 Symmetry Explained.pdf.pdf	PDF	85.04 KB
14. Symmetry of Combinations.html	HTML	165 B
15. Solving Combinations with Separate Sample Spaces.mp4	MP4	33.15 MB
15. Solving Combinations with Separate Sample Spaces.srt	SRT	3.73 KB
16. Solving Combinations with Separate Sample Spaces.html	HTML	165 B
17. Combinatorics in Real-Life The Lottery.mp4	MP4	41.29 MB
17. Combinatorics in Real-Life The Lottery.srt	SRT	4.15 KB
18. Combinatorics in Real-Life The Lottery.html	HTML	165 B
19. A Recap of Combinatorics.mp4	MP4	38.49 MB
19. A Recap of Combinatorics.srt	SRT	3.72 KB
2. Fundamentals of Combinatorics.html	HTML	165 B
20. A Practical Example of Combinatorics.mp4	MP4	134.31 MB
20. A Practical Example of Combinatorics.srt	SRT	13.96 KB
20.1 Additional Exercises Combinatorics.pdf.pdf	PDF	106.58 KB
20.2 Additional Exercises Combinatorics Solutions.pdf.pdf	PDF	245.67 KB
3. Permutations and How to Use Them.mp4	MP4	42.72 MB
3. Permutations and How to Use Them.srt	SRT	4.07 KB
4. Permutations and How to Use Them.html	HTML	165 B
5. Simple Operations with Factorials.mp4	MP4	36.12 MB
5. Simple Operations with Factorials.srt	SRT	3.26 KB
6. Simple Operations with Factorials.html	HTML	165 B
7. Solving Variations with Repetition.mp4	MP4	34 MB
7. Solving Variations with Repetition.srt	SRT	3.47 KB
8. Solving Variations with Repetition.html	HTML	165 B
9. Solving Variations without Repetition.mp4	MP4	43.14 MB
9. Solving Variations without Repetition.srt	SRT	43.15 MB

11. Probability - Bayesian Inference

1. Sets and Events.mp4	MP4	53.47 MB
1. Sets and Events.srt	SRT	5.06 KB
1.1 Course Notes - Bayesian Inference.pdf.pdf	PDF	386.01 KB
10. Mutually Exclusive Sets.html	HTML	165 B
11. Dependence and Independence of Sets.mp4	MP4	34.79 MB
11. Dependence and Independence of Sets.srt	SRT	3.46 KB
12. Dependence and Independence of Sets.html	HTML	165 B
13. The Conditional Probability Formula.mp4	MP4	45.87 MB
13. The Conditional Probability Formula.srt	SRT	4.93 KB
14. The Conditional Probability Formula.html	HTML	165 B
15. The Law of Total Probability.mp4	MP4	34.93 MB
15. The Law of Total Probability.srt	SRT	3.49 KB
16. The Additive Rule.mp4	MP4	26.97 MB
16. The Additive Rule.srt	SRT	2.74 KB
17. The Additive Rule.html	HTML	165 B
18. The Multiplication Law.mp4	MP4	49.02 MB
18. The Multiplication Law.srt	SRT	4.62 KB
19. The Multiplication Law.html	HTML	165 B
2. Sets and Events.html	HTML	165 B
20. Bayes' Law.mp4	MP4	49.93 MB
20. Bayes' Law.srt	SRT	7.2 KB
21. Bayes' Law.html	HTML	165 B
22. A Practical Example of Bayesian Inference.mp4	MP4	145.13 MB
22. A Practical Example of Bayesian Inference.srt	SRT	19.32 KB
22.1 CDS_2017-2018 Hamilton.pdf.pdf	PDF	845.31 KB
22.2 Bayesian Homework - Solutions.pdf.pdf	PDF	30.35 KB
22.3 Bayesian Homework .pdf.pdf	PDF	27.26 KB
3. Ways Sets Can Interact.mp4	MP4	47.43 MB
3. Ways Sets Can Interact.srt	SRT	4.39 KB
4. Ways Sets Can Interact.html	HTML	165 B
5. Intersection of Sets.mp4	MP4	26.96 MB
5. Intersection of Sets.srt	SRT	2.47 KB
6. Intersection of Sets.html	HTML	165 B
7. Union of Sets.mp4	MP4	57.19 MB
7. Union of Sets.srt	SRT	5.53 KB
8. Union of Sets.html	HTML	165 B
9. Mutually Exclusive Sets.mp4	MP4	25.39 MB
9. Mutually Exclusive Sets.srt	SRT	2.52 KB

12. Probability - Distributions

1. Fundamentals of Probability Distributions.mp4	MP4	73.4 MB
1. Fundamentals of Probability Distributions.srt	SRT	7.54 KB
1.1 Course Notes - Probability Distributions.pdf.pdf	PDF	463.95 KB
10. Discrete Distributions The Bernoulli Distribution.html	HTML	165 B
11. Discrete Distributions The Binomial Distribution.mp4	MP4	68.83 MB
11. Discrete Distributions The Binomial Distribution.srt	SRT	8.3 KB
12. Discrete Distributions The Binomial Distribution.html	HTML	165 B
13. Discrete Distributions The Poisson Distribution.mp4	MP4	55.76 MB
13. Discrete Distributions The Poisson Distribution.srt	SRT	6.57 KB
13.1 Poisson - Expected Value and Variance.pdf.pdf	PDF	145.99 KB
14. Discrete Distributions The Poisson Distribution.html	HTML	165 B
15. Characteristics of Continuous Distributions.mp4	MP4	84.12 MB
15. Characteristics of Continuous Distributions.srt	SRT	8.66 KB
15.1 Solving Integrals.pdf.pdf	PDF	343.85 KB
16. Characteristics of Continuous Distributions.html	HTML	165 B
17. Continuous Distributions The Normal Distribution.mp4	MP4	48.24 MB
17. Continuous Distributions The Normal Distribution.srt	SRT	4.77 KB
17.1 Normal Distribution - Exp and Var.pdf.pdf	PDF	144.08 KB
18. Continuous Distributions The Normal Distribution.html	HTML	165 B
19. Continuous Distributions The Standard Normal Distribution.mp4	MP4	47.9 MB
19. Continuous Distributions The Standard Normal Distribution.srt	SRT	5.28 KB
2. Fundamentals of Probability Distributions.html	HTML	165 B
20. Continuous Distributions The Standard Normal Distribution.html	HTML	165 B
21. Continuous Distributions The Students' T Distribution.mp4	MP4	27.18 MB
21. Continuous Distributions The Students' T Distribution.srt	SRT	2.79 KB
22. Continuous Distributions The Students' T Distribution.html	HTML	165 B
23. Continuous Distributions The Chi-Squared Distribution.mp4	MP4	26.34 MB
23. Continuous Distributions The Chi-Squared Distribution.srt	SRT	2.76 KB
24. Continuous Distributions The Chi-Squared Distribution.html	HTML	165 B
25. Continuous Distributions The Exponential Distribution.mp4	MP4	40.23 MB
25. Continuous Distributions The Exponential Distribution.srt	SRT	4.13 KB
26. Continuous Distributions The Exponential Distribution.html	HTML	165 B
27. Continuous Distributions The Logistic Distribution.mp4	MP4	47.05 MB
27. Continuous Distributions The Logistic Distribution.srt	SRT	5.02 KB
28. Continuous Distributions The Logistic Distribution.html	HTML	165 B
29. A Practical Example of Probability Distributions.mp4	MP4	157.82 MB
29. A Practical Example of Probability Distributions.srt	SRT	19.91 KB
29.1 FIFA19.csv.csv	CSV	8.65 MB
29.2 Customers_Membership (post).xlsx.xlsx	XLSX	15.62 KB
29.3 FIFA19 (post).csv.csv	CSV	8.64 MB
29.4 Daily Views.xlsx.xlsx	XLSX	9.53 KB
29.5 Customers_Membership.xlsx.xlsx	XLSX	9.69 KB
29.6 Daily Views (post).xlsx.xlsx	XLSX	20.21 KB
3. Types of Probability Distributions.mp4	MP4	91.58 MB
3. Types of Probability Distributions.srt	SRT	9.45 KB
4. Types of Probability Distributions.html	HTML	165 B
5. Characteristics of Discrete Distributions.mp4	MP4	22.7 MB
5. Characteristics of Discrete Distributions.srt	SRT	2.46 KB
6. Characteristics of Discrete Distributions.html	HTML	165 B
7. Discrete Distributions The Uniform Distribution.mp4	MP4	24.39 MB
7. Discrete Distributions The Uniform Distribution.srt	SRT	2.73 KB
8. Discrete Distributions The Uniform Distribution.html	HTML	165 B
9. Discrete Distributions The Bernoulli Distribution.mp4	MP4	34.13 MB
9. Discrete Distributions The Bernoulli Distribution.srt	SRT	3.85 KB

13. Probability - Probability in Other Fields

1. Probability in Finance.mp4	MP4	99.07 MB
1. Probability in Finance.srt	SRT	9.83 KB
1.1 Probability in Finance Solutions.pdf.pdf	PDF	184.46 KB
1.2 Probability in Finance Homework.pdf.pdf	PDF	110.68 KB
2. Probability in Statistics.mp4	MP4	77.28 MB
2. Probability in Statistics.srt	SRT	8.44 KB
3. Probability in Data Science.mp4	MP4	63.49 MB
3. Probability in Data Science.srt	SRT	6.65 KB

14. Part 3 Statistics

1. Population and Sample.mp4	MP4	58.11 MB
1. Population and Sample.srt	SRT	5.47 KB
1.1 Statistics Glossary.xlsx.xlsx	XLSX	20.26 KB
1.2 Course notes_descriptive_statistics.pdf.pdf	PDF	482.21 KB
2. Population and Sample.html	HTML	165 B

15. Statistics - Descriptive Statistics

1. Types of Data.mp4	MP4	72.52 MB
1. Types of Data.srt	SRT	5.95 KB
1.1 Course notes_descriptive_statistics.pdf.pdf	PDF	482.21 KB
1.2 Glossary.xlsx.xlsx	XLSX	19.97 KB
10. Numerical Variables Exercise.html	HTML	81 B
10.1 2.4. Numerical variables. Frequency distribution table_exercise.xlsx.xlsx	XLSX	11.75 KB
10.2 2.4. Numerical variables. Frequency distribution table_exercise_solution.xlsx.xlsx	XLSX	13.15 KB
11. The Histogram.mp4	MP4	13.78 MB
11. The Histogram.srt	SRT	3.01 KB
11.1 2.5. The Histogram_lesson.xlsx.xlsx	XLSX	18.63 KB
12. The Histogram.html	HTML	165 B
13. Histogram Exercise.html	HTML	81 B
13.1 2.5.The-Histogram-exercise-solution.xlsx.xlsx	XLSX	17.1 KB
13.2 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf	PDF	289.12 KB
13.3 2.5.The-Histogram-exercise.xlsx.xlsx	XLSX	15.5 KB
14. Cross Tables and Scatter Plots.mp4	MP4	39.81 MB
14. Cross Tables and Scatter Plots.srt	SRT	6.68 KB
14.1 2.6. Cross table and scatter plot.xlsx.xlsx	XLSX	26.12 KB
15. Cross Tables and Scatter Plots.html	HTML	165 B
16. Cross Tables and Scatter Plots Exercise.html	HTML	81 B
16.1 2.6. Cross table and scatter plot_exercise.xlsx.xlsx	XLSX	16.28 KB
16.2 2.6. Cross table and scatter plot_exercise_solution.xlsx.xlsx	XLSX	40.44 KB
17. Mean, median and mode.mp4	MP4	37.13 MB
17. Mean, median and mode.srt	SRT	5.73 KB
17.1 2.7. Mean, median and mode_lesson.xlsx.xlsx	XLSX	10.49 KB
18. Mean, Median and Mode Exercise.html	HTML	81 B
18.1 2.7. Mean, median and mode_exercise.xlsx.xlsx	XLSX	10.87 KB
18.2 2.7. Mean, median and mode_exercise_solution.xlsx.xlsx	XLSX	11.35 KB
19. Skewness.mp4	MP4	19.4 MB
19. Skewness.srt	SRT	3.64 KB
19.1 2.8. Skewness_lesson.xlsx.xlsx	XLSX	34.63 KB
2. Types of Data.html	HTML	165 B
20. Skewness.html	HTML	165 B
21. Skewness Exercise.html	HTML	81 B
21.1 2.8. Skewness_exercise.xlsx.xlsx	XLSX	9.49 KB
21.2 2.8. Skewness_exercise_solution.xlsx.xlsx	XLSX	19.78 KB
22. Variance.mp4	MP4	50.95 MB
22. Variance.srt	SRT	7.53 KB
22.1 2.9. Variance_lesson.xlsx.xlsx	XLSX	10.08 KB
23. Variance Exercise.html	HTML	522 B
23.1 2.9. Variance_exercise.xlsx.xlsx	XLSX	10.83 KB
23.2 2.9. Variance_exercise_solution.xlsx.xlsx	XLSX	11.05 KB
24. Standard Deviation and Coefficient of Variation.mp4	MP4	45.12 MB
24. Standard Deviation and Coefficient of Variation.srt	SRT	6.6 KB
24.1 2.10. Standard deviation and coefficient of variation_lesson.xlsx.xlsx	XLSX	10.97 KB
25. Standard Deviation.html	HTML	165 B
26. Standard Deviation and Coefficient of Variation Exercise.html	HTML	81 B
26.1 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx.xlsx	XLSX	12.6 KB
26.2 2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx.xlsx	XLSX	11.61 KB
27. Covariance.mp4	MP4	27.48 MB
27. Covariance.srt	SRT	4.92 KB
27.1 2.11. Covariance_lesson.xlsx.xlsx	XLSX	24.92 KB
28. Covariance.html	HTML	165 B
29. Covariance Exercise.html	HTML	81 B
29.1 2.11. Covariance_exercise_solution.xlsx.xlsx	XLSX	29.51 KB
29.2 2.11. Covariance_exercise.xlsx.xlsx	XLSX	20.23 KB
3. Levels of Measurement.mp4	MP4	54.38 MB
3. Levels of Measurement.srt	SRT	4.54 KB
30. Correlation Coefficient.mp4	MP4	29.38 MB
30. Correlation Coefficient.srt	SRT	4.71 KB
31. Correlation.html	HTML	165 B
32. Correlation Coefficient Exercise.html	HTML	81 B
32.1 2.12. Correlation_exercise_solution.xlsx.xlsx	XLSX	29.48 KB
32.2 2.12. Correlation_exercise.xlsx.xlsx	XLSX	29.3 KB
4. Levels of Measurement.html	HTML	165 B
5. Categorical Variables - Visualization Techniques.mp4	MP4	38.46 MB
5. Categorical Variables - Visualization Techniques.srt	SRT	6.43 KB
5.1 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx.xlsx	XLSX	30.77 KB
6. Categorical Variables - Visualization Techniques.html	HTML	165 B
7. Categorical Variables Exercise.html	HTML	81 B
7.1 2.3. Categorical variables. Visualization techniques_exercise.xlsx.xlsx	XLSX	15.24 KB
7.2 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf	PDF	289.12 KB
7.3 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx.xlsx	XLSX	41.11 KB
8. Numerical Variables - Frequency Distribution Table.mp4	MP4	25.85 MB
8. Numerical Variables - Frequency Distribution Table.srt	SRT	4.36 KB
8.1 2.4. Numerical variables. Frequency distribution table_lesson.xlsx.xlsx	XLSX	11.44 KB
9. Numerical Variables - Frequency Distribution Table.html	HTML	165 B

16. Statistics - Practical Example Descriptive Statistics

1. Practical Example Descriptive Statistics.mp4	MP4	160.46 MB
1. Practical Example Descriptive Statistics.srt	SRT	20.78 KB
1.1 2.13. Practical example. Descriptive statistics_lesson.xlsx.xlsx	XLSX	146.51 KB
2. Practical Example Descriptive Statistics Exercise.html	HTML	81 B
2.1 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx.xlsx	XLSX	146.38 KB
2.2 2.13.Practical-example.Descriptive-statistics-exercise.xlsx.xlsx	XLSX	120.27 KB

17. Statistics - Inferential Statistics Fundamentals

1. Introduction.mp4	MP4	15.5 MB
1. Introduction.srt	SRT	1.63 KB
1.1 Course notes_inferential statistics.pdf.pdf	PDF	382.32 KB
10. Central Limit Theorem.html	HTML	165 B
11. Standard error.mp4	MP4	22.78 MB
11. Standard error.srt	SRT	2.02 KB
12. Standard Error.html	HTML	165 B
13. Estimators and Estimates.mp4	MP4	47.83 MB
13. Estimators and Estimates.srt	SRT	3.71 KB
14. Estimators and Estimates.html	HTML	165 B
2. What is a Distribution.mp4	MP4	61.59 MB
2. What is a Distribution.srt	SRT	5.85 KB
2.1 3.2. What is a distribution_lesson.xlsx.xlsx	XLSX	19.46 KB
2.2 Course notes_inferential statistics.pdf.pdf	PDF	382.32 KB
3. What is a Distribution.html	HTML	165 B
4. The Normal Distribution.mp4	MP4	49.85 MB
4. The Normal Distribution.srt	SRT	4.9 KB
5. The Normal Distribution.html	HTML	165 B
6. The Standard Normal Distribution.mp4	MP4	22.51 MB
6. The Standard Normal Distribution.srt	SRT	3.94 KB
6.1 3.4. Standard normal distribution_lesson.xlsx.xlsx	XLSX	10.38 KB
7. The Standard Normal Distribution.html	HTML	165 B
8. The Standard Normal Distribution Exercise.html	HTML	81 B
8.1 3.4.Standard-normal-distribution-exercise.xlsx.xlsx	XLSX	11.99 KB
8.2 3.4.Standard-normal-distribution-exercise-solution.xlsx.xlsx	XLSX	24.04 KB
9. Central Limit Theorem.mp4	MP4	62.89 MB
9. Central Limit Theorem.srt	SRT	5.63 KB

18. Statistics - Inferential Statistics Confidence Intervals

1. What are Confidence Intervals.mp4	MP4	49.99 MB
1. What are Confidence Intervals.srt	SRT	3.26 KB
10. Margin of Error.mp4	MP4	59.17 MB
10. Margin of Error.srt	SRT	6.11 KB
11. Margin of Error.html	HTML	165 B
12. Confidence intervals. Two means. Dependent samples.mp4	MP4	70.48 MB
12. Confidence intervals. Two means. Dependent samples.srt	SRT	32 MB
12.1 3.13. Confidence intervals. Two means. Dependent samples_lesson.xlsx.xlsx	XLSX	10.47 KB
13. Confidence intervals. Two means. Dependent samples Exercise.html	HTML	81 B
13.1 3.13. Confidence intervals. Two means. Dependent samples_exercise.xlsx.xlsx	XLSX	13.74 KB
13.2 3.13. Confidence intervals. Two means. Dependent samples_exercise_solution.xlsx.xlsx	XLSX	14.24 KB
14. Confidence intervals. Two means. Independent samples (Part 1).mp4	MP4	28.76 MB
14. Confidence intervals. Two means. Independent samples (Part 1).srt	SRT	6.07 KB
14.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_lesson.xlsx.xlsx	XLSX	9.83 KB
15. Confidence intervals. Two means. Independent samples (Part 1) Exercise.html	HTML	81 B
15.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise_solution.xlsx.xlsx	XLSX	10.12 KB
15.2 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise.xlsx.xlsx	XLSX	9.83 KB
16. Confidence intervals. Two means. Independent samples (Part 2).mp4	MP4	26.83 MB
16. Confidence intervals. Two means. Independent samples (Part 2).srt	SRT	4.51 KB
16.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_lesson.xlsx.xlsx	XLSX	9.52 KB
17. Confidence intervals. Two means. Independent samples (Part 2) Exercise.html	HTML	81 B
17.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise.xlsx.xlsx	XLSX	9.17 KB
17.2 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise_solution.xlsx.xlsx	XLSX	9.79 KB
18. Confidence intervals. Two means. Independent samples (Part 3).mp4	MP4	19.94 MB
18. Confidence intervals. Two means. Independent samples (Part 3).srt	SRT	1.96 KB
2. What are Confidence Intervals.html	HTML	165 B
3. Confidence Intervals; Population Variance Known; z-score.mp4	MP4	78.21 MB
3. Confidence Intervals; Population Variance Known; z-score.srt	SRT	9.8 KB
3.1 3.9. Population variance known, z-score_lesson.xlsx.xlsx	XLSX	11.21 KB
3.2 3.9.The-z-table.xlsx.xlsx	XLSX	25.58 KB
4. Confidence Intervals; Population Variance Known; z-score; Exercise.html	HTML	81 B
4.1 3.9. Population variance known, z-score_exercise_solution.xlsx.xlsx	XLSX	11.16 KB
4.2 3.9. Population variance known, z-score_exercise.xlsx.xlsx	XLSX	10.83 KB
4.3 3.9.The-z-table.xlsx.xlsx	XLSX	25.58 KB
5. Confidence Interval Clarifications.mp4	MP4	57.03 MB
5. Confidence Interval Clarifications.srt	SRT	5.41 KB
6. Student's T Distribution.mp4	MP4	35.44 MB
6. Student's T Distribution.srt	SRT	4.13 KB
7. Student's T Distribution.html	HTML	165 B
8. Confidence Intervals; Population Variance Unknown; t-score.mp4	MP4	32.21 MB
8. Confidence Intervals; Population Variance Unknown; t-score.srt	SRT	5.71 KB
8.1 3.11. The t-table.xlsx.xlsx	XLSX	15.85 KB
8.2 3.11. Population variance unknown, t-score_lesson.xlsx.xlsx	XLSX	10.78 KB
9. Confidence Intervals; Population Variance Unknown; t-score; Exercise.html	HTML	81 B
9.1 3.11. Population variance unknown, t-score_exercise_solution.xlsx.xlsx	XLSX	11.1 KB
9.2 3.11.The-t-table.xlsx.xlsx	XLSX	15.85 KB
9.3 3.11. Population variance unknown, t-score_exercise.xlsx.xlsx	XLSX	10.62 KB

19. Statistics - Practical Example Inferential Statistics

1. Practical Example Inferential Statistics.mp4	MP4	102.67 MB
1. Practical Example Inferential Statistics.srt	SRT	13.64 KB
1.1 3.17. Practical example. Confidence intervals_lesson.xlsx.xlsx	XLSX	1.74 MB
2. Practical Example Inferential Statistics Exercise.html	HTML	81 B
2.1 3.17.Practical-example.Confidence-intervals-exercise.xlsx.xlsx	XLSX	1.73 MB
2.2 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx.xlsx	XLSX	1.82 MB

2. The Field of Data Science - The Various Data Science Disciplines

1. Data Science and Business Buzzwords Why are there so many.mp4	MP4	81.41 MB
1. Data Science and Business Buzzwords Why are there so many.srt	SRT	6.62 KB
10. A Breakdown of our Data Science Infographic.html	HTML	165 B
2. Data Science and Business Buzzwords Why are there so many.html	HTML	165 B
3. What is the difference between Analysis and Analytics.mp4	MP4	53.55 MB
3. What is the difference between Analysis and Analytics.srt	SRT	5.07 KB
4. What is the difference between Analysis and Analytics.html	HTML	165 B
5. Business Analytics, Data Analytics, and Data Science An Introduction.mp4	MP4	64.51 MB
5. Business Analytics, Data Analytics, and Data Science An Introduction.srt	SRT	10.63 KB
5.1 365_DataScience_Diagram.pdf.pdf	PDF	323.08 KB
6. Business Analytics, Data Analytics, and Data Science An Introduction.html	HTML	165 B
7. Continuing with BI, ML, and AI.mp4	MP4	108.99 MB
7. Continuing with BI, ML, and AI.srt	SRT	11.87 KB
7.1 365_DataScience_Diagram.pdf.pdf	PDF	323.08 KB
7.2 365_DataScience.png.png	PNG	6.93 MB
8. Continuing with BI, ML, and AI.html	HTML	165 B
9. A Breakdown of our Data Science Infographic.mp4	MP4	67.75 MB
9. A Breakdown of our Data Science Infographic.srt	SRT	5.1 KB
9.1 365_DataScience.png.png	PNG	6.93 MB

20. Statistics - Hypothesis Testing

1. Null vs Alternative Hypothesis.mp4	MP4	92.05 MB
1. Null vs Alternative Hypothesis.srt	SRT	6.97 KB
1.1 Course notes_hypothesis_testing.pdf.pdf	PDF	648.2 KB
10. p-value.mp4	MP4	55.87 MB
10. p-value.srt	SRT	55.88 MB
10.1 Online p-value calculator.pdf.pdf	PDF	1.15 MB
11. p-value.html	HTML	165 B
12. Test for the Mean. Population Variance Unknown.mp4	MP4	40.25 MB
12. Test for the Mean. Population Variance Unknown.srt	SRT	5.73 KB
12.1 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx.xlsx	XLSX	14.54 KB
13. Test for the Mean. Population Variance Unknown Exercise.html	HTML	81 B
13.1 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx.xlsx	XLSX	12.63 KB
13.2 4.6.Test-for-the-mean.Population-variance-unknown-exercise.xlsx.xlsx	XLSX	11.34 KB
14. Test for the Mean. Dependent Samples.mp4	MP4	50.37 MB
14. Test for the Mean. Dependent Samples.srt	SRT	6.26 KB
14.1 4.7. Test for the mean. Dependent samples_lesson.xlsx.xlsx	XLSX	9.79 KB
15. Test for the Mean. Dependent Samples Exercise.html	HTML	81 B
15.1 4.7. Test for the mean. Dependent samples_exercise_solution.xlsx.xlsx	XLSX	14.4 KB
15.2 4.7. Test for the mean. Dependent samples_exercise.xlsx.xlsx	XLSX	12.8 KB
16. Test for the mean. Independent samples (Part 1).mp4	MP4	33.94 MB
16. Test for the mean. Independent samples (Part 1).srt	SRT	5.49 KB
16.1 4.8. Test for the mean. Independent samples (Part 1)_lesson.xlsx.xlsx	XLSX	9.63 KB
17. Test for the mean. Independent samples (Part 1). Exercise.html	HTML	81 B
17.1 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx.xlsx	XLSX	10.77 KB
17.2 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx.xlsx	XLSX	11.25 KB
18. Test for the mean. Independent samples (Part 2).mp4	MP4	36.39 MB
18. Test for the mean. Independent samples (Part 2).srt	SRT	5.14 KB
18.1 4.9. Test for the mean. Independent samples (Part 2)_lesson.xlsx.xlsx	XLSX	9.31 KB
19. Test for the mean. Independent samples (Part 2).html	HTML	165 B
2. Further Reading on Null and Alternative Hypothesis.html	HTML	2.29 KB
20. Test for the mean. Independent samples (Part 2) Exercise.html	HTML	81 B
20.1 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx.xlsx	XLSX	10.54 KB
20.2 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx.xlsx	XLSX	11.39 KB
3. Null vs Alternative Hypothesis.html	HTML	165 B
4. Rejection Region and Significance Level.mp4	MP4	82.62 MB
4. Rejection Region and Significance Level.srt	SRT	8.69 KB
4.1 Course notes_hypothesis_testing.pdf.pdf	PDF	648.2 KB
5. Rejection Region and Significance Level.html	HTML	165 B
6. Type I Error and Type II Error.mp4	MP4	43.93 MB
6. Type I Error and Type II Error.srt	SRT	5.67 KB
7. Type I Error and Type II Error.html	HTML	165 B
8. Test for the Mean. Population Variance Known.mp4	MP4	54.22 MB
8. Test for the Mean. Population Variance Known.srt	SRT	8.14 KB
8.1 4.4. Test for the mean. Population variance known_lesson.xlsx.xlsx	XLSX	10.96 KB
9. Test for the Mean. Population Variance Known Exercise.html	HTML	81 B
9.1 4.4. Test for the mean. Population variance known_exercise_solution.xlsx.xlsx	XLSX	11.22 KB
9.2 4.4. Test for the mean. Population variance known_exercise.xlsx.xlsx	XLSX	11.03 KB

21. Statistics - Practical Example Hypothesis Testing

1. Practical Example Hypothesis Testing.mp4	MP4	69.49 MB
1. Practical Example Hypothesis Testing.srt	SRT	8.49 KB
1.1 4.10.Hypothesis-testing-section-practical-example.xlsx.xlsx	XLSX	51.71 KB
2. Practical Example Hypothesis Testing Exercise.html	HTML	81 B
2.1 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx.xlsx	XLSX	44.04 KB
2.2 4.10. Hypothesis testing section_practical example_exercise.xlsx.xlsx	XLSX	43.38 KB

22. Part 4 Introduction to Python

1. Introduction to Programming.mp4	MP4	58.55 MB
1. Introduction to Programming.srt	SRT	6.9 KB
10. Jupyter's Interface.html	HTML	165 B
11. Python 2 vs Python 3.mp4	MP4	11.27 MB
11. Python 2 vs Python 3.srt	SRT	3.31 KB
11.1 Python Introduction - Course Notes.pdf.pdf	PDF	2.03 MB
2. Introduction to Programming.html	HTML	165 B
3. Why Python.mp4	MP4	75.08 MB
3. Why Python.srt	SRT	75.09 MB
4. Why Python.html	HTML	165 B
5. Why Jupyter.mp4	MP4	44.31 MB
5. Why Jupyter.srt	SRT	88.63 MB
6. Why Jupyter.html	HTML	165 B
7. Installing Python and Jupyter.mp4	MP4	50.99 MB
7. Installing Python and Jupyter.srt	SRT	8.84 KB
8. Understanding Jupyter's Interface - the Notebook Dashboard.mp4	MP4	13.79 MB
8. Understanding Jupyter's Interface - the Notebook Dashboard.srt	SRT	3.73 KB
9. Prerequisites for Coding in the Jupyter Notebooks.mp4	MP4	30.58 MB
9. Prerequisites for Coding in the Jupyter Notebooks.srt	SRT	7.79 KB

23. Python - Variables and Data Types

1. Variables.mp4	MP4	25.3 MB
1. Variables.srt	SRT	6.05 KB
1.1 Python Introduction - Course Notes.pdf.pdf	PDF	2.03 MB
1.2 Variables - Resources.html	HTML	134 B
2. Variables.html	HTML	165 B
3. Numbers and Boolean Values in Python.mp4	MP4	17.06 MB
3. Numbers and Boolean Values in Python.srt	SRT	3.68 KB
3.1 Numbers and Boolean Values - Resources.html	HTML	134 B
4. Numbers and Boolean Values in Python.html	HTML	165 B
5. Python Strings.mp4	MP4	50.64 MB
5. Python Strings.srt	SRT	14.55 KB
5.1 Strings - Resources.html	HTML	134 B
6. Python Strings.html	HTML	165 B

24. Python - Basic Python Syntax

1. Using Arithmetic Operators in Python.mp4	MP4	18.92 MB
1. Using Arithmetic Operators in Python.srt	SRT	4.11 KB
1.1 Arithmetic Operators - Resources.html	HTML	134 B
10. Indexing Elements.mp4	MP4	5.93 MB
10. Indexing Elements.srt	SRT	1.7 KB
10.1 Indexing Elements - Resources.html	HTML	134 B
11. Indexing Elements.html	HTML	165 B
12. Structuring with Indentation.mp4	MP4	13.15 MB
12. Structuring with Indentation.srt	SRT	4.68 KB
12.1 Structure Your Code with Indentation - Resources.html	HTML	134 B
13. Structuring with Indentation.html	HTML	165 B
2. Using Arithmetic Operators in Python.html	HTML	165 B
3. The Double Equality Sign.mp4	MP4	5.99 MB
3. The Double Equality Sign.srt	SRT	1.82 KB
3.1 The Double Equality Sign - Resources.html	HTML	134 B
4. The Double Equality Sign.html	HTML	165 B
5. How to Reassign Values.mp4	MP4	4.01 MB
5. How to Reassign Values.srt	SRT	1.29 KB
5.1 Reassign Values - Resources.html	HTML	134 B
6. How to Reassign Values.html	HTML	165 B
7. Add Comments.mp4	MP4	11.26 MB
7. Add Comments.srt	SRT	3.87 KB
7.1 Add Comments - Resources.html	HTML	134 B
8. Add Comments.html	HTML	165 B
9. Understanding Line Continuation.mp4	MP4	2.35 MB
9. Understanding Line Continuation.srt	SRT	1.13 KB
9.1 Line Continuation - Resources.html	HTML	134 B

25. Python - Other Python Operators

1. Comparison Operators.mp4	MP4	10.17 MB
1. Comparison Operators.srt	SRT	2.47 KB
1.1 Comparison Operators - Resources.html	HTML	134 B
2. Comparison Operators.html	HTML	165 B
3. Logical and Identity Operators.mp4	MP4	30.05 MB
3. Logical and Identity Operators.srt	SRT	5.77 KB
3.1 Logical and Identity Operators - Resources.html	HTML	134 B
4. Logical and Identity Operators.html	HTML	165 B

26. Python - Conditional Statements

1. The IF Statement.mp4	MP4	23.24 MB
1. The IF Statement.srt	SRT	7.6 KB
1.1 Introduction to the If Statement - Resources.html	HTML	134 B
2. The IF Statement.html	HTML	165 B
3. The ELSE Statement.mp4	MP4	23.28 MB
3. The ELSE Statement.srt	SRT	6.28 KB
3.1 Add an Else Statement - Resources.html	HTML	134 B
4. The ELIF Statement.mp4	MP4	53.34 MB
4. The ELIF Statement.srt	SRT	53.35 MB
4.1 Else if, for Brief - Elif - Resources.html	HTML	134 B
5. A Note on Boolean Values.mp4	MP4	19.99 MB
5. A Note on Boolean Values.srt	SRT	6.21 KB
5.1 A Note on Boolean Values - Resources.html	HTML	134 B
6. A Note on Boolean Values.html	HTML	165 B

27. Python - Python Functions

1. Defining a Function in Python.mp4	MP4	14.75 MB
1. Defining a Function in Python.srt	SRT	5.32 KB
1.1 Defining a Function in Python - Resources.html	HTML	134 B
2. How to Create a Function with a Parameter.mp4	MP4	38.1 MB
2. How to Create a Function with a Parameter.srt	SRT	8.98 KB
2.1 Creating a Function with a Parameter - Resources.html	HTML	134 B
3. Defining a Function in Python - Part II.mp4	MP4	25.24 MB
3. Defining a Function in Python - Part II.srt	SRT	25.25 MB
3.1 Another Way to Define a Function - Resources.html	HTML	134 B
4. How to Use a Function within a Function.mp4	MP4	8.14 MB
4. How to Use a Function within a Function.srt	SRT	2.03 KB
4.1 Using a Function in Another Function - Resources.html	HTML	134 B
5. Conditional Statements and Functions.mp4	MP4	15.68 MB
5. Conditional Statements and Functions.srt	SRT	3.51 KB
5.1 Combining Conditional Statements and Functions - Resources.html	HTML	134 B
6. Functions Containing a Few Arguments.mp4	MP4	14.72 MB
6. Functions Containing a Few Arguments.srt	SRT	3 KB
6.1 Creating Functions Containing a Few Arguments - Resources.html	HTML	134 B
7. Built-in Functions in Python.mp4	MP4	22.02 MB
7. Built-in Functions in Python.srt	SRT	4.21 KB
7.1 Notable Built-In Functions in Python - Resources.html	HTML	134 B
8. Python Functions.html	HTML	165 B

28. Python - Sequences

1. Lists.mp4	MP4	37.8 MB
1. Lists.srt	SRT	9.83 KB
1.1 Lists - Resources.html	HTML	134 B
2. Lists.html	HTML	165 B
3. Using Methods.mp4	MP4	37.59 MB
3. Using Methods.srt	SRT	8.36 KB
3.1 Help Yourself with Methods - Resources.html	HTML	134 B
4. Using Methods.html	HTML	165 B
5. List Slicing.mp4	MP4	30.76 MB
5. List Slicing.srt	SRT	5.55 KB
5.1 List Slicing - Resources.html	HTML	134 B
6. Tuples.mp4	MP4	29.5 MB
6. Tuples.srt	SRT	6.92 KB
6.1 Tuples - Resources.html	HTML	134 B
7. Dictionaries.mp4	MP4	41.69 MB
7. Dictionaries.srt	SRT	8.43 KB
7.1 Dictionaries - Resources.html	HTML	134 B
8. Dictionaries.html	HTML	165 B

29. Python - Iterations

1. For Loops.mp4	MP4	23.6 MB
1. For Loops.srt	SRT	6.58 KB
1.1 For Loops - Resources.html	HTML	134 B
2. For Loops.html	HTML	165 B
3. While Loops and Incrementing.mp4	MP4	28.44 MB
3. While Loops and Incrementing.srt	SRT	5.9 KB
3.1 While Loops and Incrementing - Resources.html	HTML	134 B
4. Lists with the range() Function.mp4	MP4	25.79 MB
4. Lists with the range() Function.srt	SRT	7.66 KB
4.1 Create Lists with the range() Function - Resources.html	HTML	134 B
5. Lists with the range() Function.html	HTML	165 B
6. Conditional Statements and Loops.mp4	MP4	27.76 MB
6. Conditional Statements and Loops.srt	SRT	7.46 KB
6.1 Use Conditional Statements and Loops Together - Resources.html	HTML	134 B
7. Conditional Statements, Functions, and Loops.mp4	MP4	9.48 MB
7. Conditional Statements, Functions, and Loops.srt	SRT	2.41 KB
7.1 All In - Conditional Statements, Functions, and Loops - Resources.html	HTML	134 B
8. How to Iterate over Dictionaries.mp4	MP4	29.66 MB
8. How to Iterate over Dictionaries.srt	SRT	7.93 KB
8.1 Iterating over Dictionaries - Resources.html	HTML	134 B

3. The Field of Data Science - Connecting the Data Science Disciplines

1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4	MP4	126.88 MB
1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.srt	SRT	8.99 KB
2. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.html	HTML	165 B

30. Python - Advanced Python Tools

1. Object Oriented Programming.mp4	MP4	33.6 MB
1. Object Oriented Programming.srt	SRT	6.1 KB
2. Object Oriented Programming.html	HTML	165 B
3. Modules and Packages.mp4	MP4	8.51 MB
3. Modules and Packages.srt	SRT	1.26 KB
4. Modules and Packages.html	HTML	165 B
5. What is the Standard Library.mp4	MP4	18.03 MB
5. What is the Standard Library.srt	SRT	3.56 KB
6. What is the Standard Library.html	HTML	165 B
7. Importing Modules in Python.mp4	MP4	19.93 MB
7. Importing Modules in Python.srt	SRT	4.81 KB
8. Importing Modules in Python.html	HTML	165 B

31. Part 5 Advanced Statistical Methods in Python

1. Introduction to Regression Analysis.mp4	MP4	17.33 MB
1. Introduction to Regression Analysis.srt	SRT	2.21 KB
2. Introduction to Regression Analysis.html	HTML	165 B

32. Advanced Statistical Methods - Linear regression with StatsModels

1. The Linear Regression Model.mp4	MP4	57.38 MB
1. The Linear Regression Model.srt	SRT	7.06 KB
10. Using Seaborn for Graphs.mp4	MP4	12.24 MB
10. Using Seaborn for Graphs.srt	SRT	1.48 KB
11. How to Interpret the Regression Table.mp4	MP4	44.65 MB
11. How to Interpret the Regression Table.srt	SRT	6.3 KB
12. How to Interpret the Regression Table.html	HTML	165 B
13. Decomposition of Variability.mp4	MP4	49.66 MB
13. Decomposition of Variability.srt	SRT	4.17 KB
14. Decomposition of Variability.html	HTML	165 B
15. What is the OLS.mp4	MP4	28.31 MB
15. What is the OLS.srt	SRT	3.82 KB
16. What is the OLS.html	HTML	165 B
17. R-Squared.mp4	MP4	41.03 MB
17. R-Squared.srt	SRT	6.57 KB
18. R-Squared.html	HTML	165 B
2. The Linear Regression Model.html	HTML	165 B
3. Correlation vs Regression.mp4	MP4	14.73 MB
3. Correlation vs Regression.srt	SRT	2.1 KB
4. Correlation vs Regression.html	HTML	165 B
5. Geometrical Representation of the Linear Regression Model.mp4	MP4	5.13 MB
5. Geometrical Representation of the Linear Regression Model.srt	SRT	1.64 KB
6. Geometrical Representation of the Linear Regression Model.html	HTML	165 B
7. Python Packages Installation.mp4	MP4	40.59 MB
7. Python Packages Installation.srt	SRT	19.18 MB
8. First Regression in Python.mp4	MP4	44.56 MB
8. First Regression in Python.srt	SRT	7.91 KB
8.1 First regression in Python.html	HTML	134 B
9. First Regression in Python Exercise.html	HTML	1.33 KB
9.1 First regression in Python - Exercise.html	HTML	134 B

33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels

1. Multiple Linear Regression.mp4	MP4	21.52 MB
1. Multiple Linear Regression.srt	SRT	3.35 KB
10. A1 Linearity.html	HTML	165 B
11. A2 No Endogeneity.mp4	MP4	35.67 MB
11. A2 No Endogeneity.srt	SRT	5.24 KB
12. A2 No Endogeneity.html	HTML	165 B
13. A3 Normality and Homoscedasticity.mp4	MP4	42.7 MB
13. A3 Normality and Homoscedasticity.srt	SRT	6.67 KB
14. A4 No Autocorrelation.mp4	MP4	31.51 MB
14. A4 No Autocorrelation.srt	SRT	4.9 KB
15. A4 No autocorrelation.html	HTML	165 B
16. A5 No Multicollinearity.mp4	MP4	28.71 MB
16. A5 No Multicollinearity.srt	SRT	4.62 KB
17. A5 No Multicollinearity.html	HTML	165 B
18. Dealing with Categorical Data - Dummy Variables.mp4	MP4	55.67 MB
18. Dealing with Categorical Data - Dummy Variables.srt	SRT	8.15 KB
18.1 Dealing with categorical data.html	HTML	134 B
19. Dealing with Categorical Data - Dummy Variables.html	HTML	76 B
19.1 Dealing with categorical data.html	HTML	134 B
2. Multiple Linear Regression.html	HTML	165 B
20. Making Predictions with the Linear Regression.mp4	MP4	24.69 MB
20. Making Predictions with the Linear Regression.srt	SRT	4.44 KB
20.1 Making predictions.html	HTML	134 B
3. Adjusted R-Squared.mp4	MP4	54.84 MB
3. Adjusted R-Squared.srt	SRT	7.53 KB
3.1 Adjusted R-squared.html	HTML	134 B
4. Adjusted R-Squared.html	HTML	165 B
5. Multiple Linear Regression Exercise.html	HTML	76 B
5.1 Multiple linear regression - exercise.html	HTML	134 B
6. Test for Significance of the Model (F-Test).mp4	MP4	16.43 MB
6. Test for Significance of the Model (F-Test).srt	SRT	2.55 KB
7. OLS Assumptions.mp4	MP4	21.86 MB
7. OLS Assumptions.srt	SRT	3.03 KB
8. OLS Assumptions.html	HTML	165 B
9. A1 Linearity.mp4	MP4	12.61 MB
9. A1 Linearity.srt	SRT	2.36 KB

34. Advanced Statistical Methods - Linear Regression with sklearn

1. What is sklearn and How is it Different from Other Packages.mp4	MP4	27.26 MB
1. What is sklearn and How is it Different from Other Packages.srt	SRT	3.42 KB
10. Feature Selection (F-regression).mp4	MP4	29.52 MB
10. Feature Selection (F-regression).srt	SRT	29.52 MB
10.1 Feature selection.html	HTML	134 B
11. A Note on Calculation of P-values with sklearn.html	HTML	372 B
11.1 Calculation of P-values.html	HTML	134 B
12. Creating a Summary Table with p-values.mp4	MP4	12.3 MB
12. Creating a Summary Table with p-values.srt	SRT	12.32 MB
12.1 Summary table with p-values.html	HTML	134 B
13. Multiple Linear Regression - Exercise.html	HTML	76 B
13.1 Multiple linear regression - Exercise.html	HTML	134 B
14. Feature Scaling (Standardization).mp4	MP4	39.08 MB
14. Feature Scaling (Standardization).srt	SRT	7.11 MB
14.1 Feature scaling.html	HTML	134 B
15. Feature Selection through Standardization of Weights.mp4	MP4	34.89 MB
15. Feature Selection through Standardization of Weights.srt	SRT	7.26 KB
15.1 Feature scaling standardization.html	HTML	134 B
16. Predicting with the Standardized Coefficients.mp4	MP4	25.97 MB
16. Predicting with the Standardized Coefficients.srt	SRT	5.59 KB
16.1 Predicting with the Standardized Cofficients.html	HTML	134 B
17. Feature Scaling (Standardization) - Exercise.html	HTML	76 B
17.1 Feature scaling - exercise.html	HTML	134 B
18. Underfitting and Overfitting.mp4	MP4	16.95 MB
18. Underfitting and Overfitting.srt	SRT	3.45 KB
19. Train - Test Split Explained.mp4	MP4	49.17 MB
19. Train - Test Split Explained.srt	SRT	9.59 KB
19.1 Train - Test split explained.html	HTML	134 B
2. How are Going to Approach this Section.mp4	MP4	19.41 MB
2. How are Going to Approach this Section.srt	SRT	2.92 KB
3. Simple Linear Regression with sklearn.mp4	MP4	34.78 MB
3. Simple Linear Regression with sklearn.srt	SRT	7.33 KB
3.1 Simple Linear Regression with sklearn with Comments.html	HTML	170 B
3.2 Simple Linear Regression with sklearn.html	HTML	156 B
3.3 1.01. Simple linear regression.csv.csv	CSV	922 B
4. Simple Linear Regression with sklearn - A StatsModels-like Summary Table.mp4	MP4	32.01 MB
4. Simple Linear Regression with sklearn - A StatsModels-like Summary Table.srt	SRT	6.69 KB
4.1 Simple Linear Regression with sklearn.html	HTML	156 B
4.2 1.01. Simple linear regression.csv.csv	CSV	922 B
4.3 Simple Linear Regression with sklearn with Comments.html	HTML	170 B
5. A Note on Normalization.html	HTML	733 B
6. Simple Linear Regression with sklearn - Exercise.html	HTML	76 B
6.1 Simple linear regression with sklearn.html	HTML	134 B
7. Multiple Linear Regression with sklearn.mp4	MP4	20.07 MB
7. Multiple Linear Regression with sklearn.srt	SRT	4.17 KB
7.1 Multiple Linear Regression with sklearn.html	HTML	158 B
7.2 1.02. Multiple linear regression.csv.csv	CSV	1.07 KB
7.3 Multiple Linear Regression with sklearn with Comments.html	HTML	172 B
8. Calculating the Adjusted R-Squared in sklearn.mp4	MP4	30.88 MB
8. Calculating the Adjusted R-Squared in sklearn.srt	SRT	6.27 KB
8.1 Multiple Linear Regression and Adjusted R-squared with Comments.html	HTML	201 B
8.2 Multiple Linear Regression and Adjusted R-squared.html	HTML	187 B
8.3 1.02. Multiple linear regression.csv.csv	CSV	1.07 KB
9. Calculating the Adjusted R-Squared in sklearn - Exercise.html	HTML	76 B
9.1 Calculating the Adjusted R-Squared.html	HTML	134 B

35. Advanced Statistical Methods - Practical Example Linear Regression

1. Practical Example Linear Regression (Part 1).mp4	MP4	97.08 MB
1. Practical Example Linear Regression (Part 1).srt	SRT	14.86 KB
1.1 sklearn - Linear Regression - Practical Example (Part 1).html	HTML	134 B
2. Practical Example Linear Regression (Part 2).mp4	MP4	46.01 MB
2. Practical Example Linear Regression (Part 2).srt	SRT	8.03 KB
2.1 sklearn - Linear Regression - Practical Example (Part 2).html	HTML	134 B
3. A Note on Multicollinearity.html	HTML	849 B
4. Practical Example Linear Regression (Part 3).mp4	MP4	23.69 MB
4. Practical Example Linear Regression (Part 3).srt	SRT	4.12 KB
4.1 sklearn - Linear Regression - Practical Example (Part 3).html	HTML	134 B
5. Dummies and Variance Inflation Factor - Exercise.html	HTML	76 B
5.1 Dummies and VIF - Exercise and Solution.html	HTML	134 B
6. Practical Example Linear Regression (Part 4).mp4	MP4	56.05 MB
6. Practical Example Linear Regression (Part 4).srt	SRT	11.49 KB
6.1 sklearn - Linear Regression - Practical Example (Part 4).html	HTML	134 B
7. Dummy Variables - Exercise.html	HTML	713 B
8. Practical Example Linear Regression (Part 5).mp4	MP4	57.89 MB
8. Practical Example Linear Regression (Part 5).srt	SRT	10.59 KB
8.1 sklearn - Linear Regression - Practical Example (Part 5).html	HTML	134 B
9. Linear Regression - Exercise.html	HTML	503 B

36. Advanced Statistical Methods - Logistic Regression

1. Introduction to Logistic Regression.mp4	MP4	27.07 MB
1. Introduction to Logistic Regression.srt	SRT	1.61 KB
10. Binary Predictors in a Logistic Regression.mp4	MP4	38.44 MB
10. Binary Predictors in a Logistic Regression.srt	SRT	5.41 KB
10.1 Binary predictors.html	HTML	134 B
11. Binary Predictors in a Logistic Regression - Exercise.html	HTML	87 B
11.1 Binary predictors - exercise.html	HTML	134 B
11.2 Bank_data.csv.csv	CSV	19.55 KB
12. Calculating the Accuracy of the Model.mp4	MP4	32.85 MB
12. Calculating the Accuracy of the Model.srt	SRT	4.13 KB
12.1 Accuracy.html	HTML	134 B
13. Calculating the Accuracy of the Model.html	HTML	87 B
13.1 Bank_data.csv.csv	CSV	19.55 KB
13.2 Accuracy of the model - exercise.html	HTML	134 B
14. Underfitting and Overfitting.mp4	MP4	22.3 MB
14. Underfitting and Overfitting.srt	SRT	4.97 KB
15. Testing the Model.mp4	MP4	32.28 MB
15. Testing the Model.srt	SRT	6.55 KB
15.1 Testing the model.html	HTML	134 B
16. Testing the Model - Exercise.html	HTML	87 B
16.1 Testing the model - exercise.html	HTML	134 B
16.2 Bank_data.csv.csv	CSV	19.55 KB
16.3 Bank_data_testing.csv.csv	CSV	8.3 KB
2. A Simple Example in Python.mp4	MP4	34.69 MB
2. A Simple Example in Python.srt	SRT	5.79 KB
2.1 A simple example in Python.html	HTML	134 B
3. Logistic vs Logit Function.mp4	MP4	86.49 MB
3. Logistic vs Logit Function.srt	SRT	4.88 KB
4. Building a Logistic Regression.mp4	MP4	17.11 MB
4. Building a Logistic Regression.srt	SRT	3.28 KB
4.1 Building a logistic regression.html	HTML	134 B
5. Building a Logistic Regression - Exercise.html	HTML	87 B
5.1 Example_bank_data.csv.csv	CSV	6.21 KB
5.2 Building a logistic regression.html	HTML	134 B
6. An Invaluable Coding Tip.mp4	MP4	23.05 MB
6. An Invaluable Coding Tip.srt	SRT	3.2 KB
7. Understanding Logistic Regression Tables.mp4	MP4	30.56 MB
7. Understanding Logistic Regression Tables.srt	SRT	5.56 KB
8. Understanding Logistic Regression Tables - Exercise.html	HTML	87 B
8.1 Understanding logistic regression.html	HTML	134 B
8.2 Bank_data.csv.csv	CSV	19.55 KB
9. What do the Odds Actually Mean.mp4	MP4	32.28 MB
9. What do the Odds Actually Mean.srt	SRT	4.79 KB

37. Advanced Statistical Methods - Cluster Analysis

1. Introduction to Cluster Analysis.mp4	MP4	53.42 MB
1. Introduction to Cluster Analysis.srt	SRT	4.8 KB
2. Some Examples of Clusters.mp4	MP4	71.53 MB
2. Some Examples of Clusters.srt	SRT	6.24 KB
3. Difference between Classification and Clustering.mp4	MP4	36.16 MB
3. Difference between Classification and Clustering.srt	SRT	3.28 KB
4. Math Prerequisites.mp4	MP4	14.56 MB
4. Math Prerequisites.srt	SRT	4.05 KB

38. Advanced Statistical Methods - K-Means Clustering

1. K-Means Clustering.mp4	MP4	27.29 MB
1. K-Means Clustering.srt	SRT	6.67 KB
10. Relationship between Clustering and Regression.mp4	MP4	9.93 MB
10. Relationship between Clustering and Regression.srt	SRT	2.18 KB
11. Market Segmentation with Cluster Analysis (Part 1).mp4	MP4	43.01 MB
11. Market Segmentation with Cluster Analysis (Part 1).srt	SRT	7.53 KB
11.1 Market segmentation.html	HTML	134 B
12. Market Segmentation with Cluster Analysis (Part 2).mp4	MP4	56.12 MB
12. Market Segmentation with Cluster Analysis (Part 2).srt	SRT	9.18 KB
12.1 Market segmentation.html	HTML	134 B
13. How is Clustering Useful.mp4	MP4	74.45 MB
13. How is Clustering Useful.srt	SRT	6.39 KB
14. EXERCISE Species Segmentation with Cluster Analysis (Part 1).html	HTML	87 B
14.1 iris_dataset.csv.csv	CSV	2.4 KB
14.2 Exercise - part 1.html	HTML	134 B
15. EXERCISE Species Segmentation with Cluster Analysis (Part 2).html	HTML	87 B
15.1 iris_dataset.csv.csv	CSV	2.4 KB
15.2 iris_with_answers.csv.csv	CSV	3.63 KB
15.3 Exercise - part 2.html	HTML	134 B
2. A Simple Example of Clustering.mp4	MP4	51.82 MB
2. A Simple Example of Clustering.srt	SRT	9.59 KB
2.1 Example of clustering.html	HTML	134 B
3. A Simple Example of Clustering - Exercise.html	HTML	87 B
3.1 A simple example of clustering.html	HTML	134 B
3.2 Countries_exercise.csv.csv	CSV	8.27 KB
4. Clustering Categorical Data.mp4	MP4	21.23 MB
4. Clustering Categorical Data.srt	SRT	3.24 KB
4.1 Clustering categorical data.html	HTML	134 B
5. Clustering Categorical Data - Exercise.html	HTML	87 B
5.1 Categorical.csv.csv	CSV	10.34 KB
5.2 Clustering categorical data.html	HTML	134 B
6. How to Choose the Number of Clusters.mp4	MP4	44.14 MB
6. How to Choose the Number of Clusters.srt	SRT	7.37 KB
6.1 How to choose the number of clusters.html	HTML	134 B
7. How to Choose the Number of Clusters - Exercise.html	HTML	87 B
7.1 Countries_exercise.csv.csv	CSV	8.27 KB
7.2 How to choose the number of clusters.html	HTML	134 B
8. Pros and Cons of K-Means Clustering.mp4	MP4	37.7 MB
8. Pros and Cons of K-Means Clustering.srt	SRT	4.61 KB
9. To Standardize or not to Standardize.mp4	MP4	30.11 MB
9. To Standardize or not to Standardize.srt	SRT	5.88 KB

39. Advanced Statistical Methods - Other Types of Clustering

1. Types of Clustering.mp4	MP4	44.58 MB
1. Types of Clustering.srt	SRT	4.66 KB
2. Dendrogram.mp4	MP4	29.07 MB
2. Dendrogram.srt	SRT	7.36 KB
3. Heatmaps.mp4	MP4	29.62 MB
3. Heatmaps.srt	SRT	6.34 KB
3.1 Heatmaps.html	HTML	134 B

4. The Field of Data Science - The Benefits of Each Discipline

1. The Reason behind these Disciplines.mp4	MP4	81.19 MB
1. The Reason behind these Disciplines.srt	SRT	6.5 KB
2. The Reason behind these Disciplines.html	HTML	165 B

40. Part 6 Mathematics

1. What is a matrix.mp4	MP4	33.59 MB
1. What is a matrix.srt	SRT	4.34 KB
10. Addition and Subtraction of Matrices.mp4	MP4	32.61 MB
10. Addition and Subtraction of Matrices.srt	SRT	4.04 KB
10.1 Addition and Subtraction of Matrices Python Notebook.html	HTML	178 B
11. Addition and Subtraction of Matrices.html	HTML	165 B
12. Errors when Adding Matrices.mp4	MP4	11.17 MB
12. Errors when Adding Matrices.srt	SRT	2.57 KB
12.1 Errors when Adding Matrices Python Notebook.html	HTML	220 B
13. Transpose of a Matrix.mp4	MP4	38.08 MB
13. Transpose of a Matrix.srt	SRT	5.37 KB
13.1 Transpose of a Matrix Python Notebook.html	HTML	167 B
14. Dot Product.mp4	MP4	24 MB
14. Dot Product.srt	SRT	4.26 KB
14.1 Dot Product Python Notebook.html	HTML	154 B
15. Dot Product of Matrices.mp4	MP4	49.43 MB
15. Dot Product of Matrices.srt	SRT	9.52 KB
15.1 Dot Product of Matrices Python Notebook.html	HTML	171 B
16. Why is Linear Algebra Useful.mp4	MP4	144.33 MB
16. Why is Linear Algebra Useful.srt	SRT	11.79 KB
2. What is a Matrix.html	HTML	165 B
3. Scalars and Vectors.mp4	MP4	33.85 MB
3. Scalars and Vectors.srt	SRT	3.78 KB
4. Scalars and Vectors.html	HTML	165 B
5. Linear Algebra and Geometry.mp4	MP4	49.79 MB
5. Linear Algebra and Geometry.srt	SRT	4.09 KB
6. Linear Algebra and Geometry.html	HTML	165 B
7. Arrays in Python - A Convenient Way To Represent Matrices.mp4	MP4	26.67 MB
7. Arrays in Python - A Convenient Way To Represent Matrices.srt	SRT	6.13 KB
7.1 Arrays in Python Notebook.html	HTML	181 B
8. What is a Tensor.mp4	MP4	22.52 MB
8. What is a Tensor.srt	SRT	3.61 KB
8.1 Tensors Notebook.html	HTML	148 B
9. What is a Tensor.html	HTML	165 B

41. Part 7 Deep Learning

1. What to Expect from this Part.mp4	MP4	31.1 MB
1. What to Expect from this Part.srt	SRT	4.63 KB
2. What is Machine Learning.html	HTML	165 B

42. Deep Learning - Introduction to Neural Networks

1. Introduction to Neural Networks.mp4	MP4	42.92 MB
1. Introduction to Neural Networks.srt	SRT	5.9 KB
1.1 Course Notes - Section 2.pdf.pdf	PDF	578.08 KB
10. The Linear Model with Multiple Inputs.html	HTML	165 B
11. The Linear model with Multiple Inputs and Multiple Outputs.mp4	MP4	38.32 MB
11. The Linear model with Multiple Inputs and Multiple Outputs.srt	SRT	5.46 KB
12. The Linear model with Multiple Inputs and Multiple Outputs.html	HTML	165 B
13. Graphical Representation of Simple Neural Networks.mp4	MP4	22.64 MB
13. Graphical Representation of Simple Neural Networks.srt	SRT	2.69 KB
14. Graphical Representation of Simple Neural Networks.html	HTML	165 B
15. What is the Objective Function.mp4	MP4	17.92 MB
15. What is the Objective Function.srt	SRT	2.12 KB
16. What is the Objective Function.html	HTML	165 B
17. Common Objective Functions L2-norm Loss.mp4	MP4	23.28 MB
17. Common Objective Functions L2-norm Loss.srt	SRT	2.77 KB
18. Common Objective Functions L2-norm Loss.html	HTML	165 B
19. Common Objective Functions Cross-Entropy Loss.mp4	MP4	37.25 MB
19. Common Objective Functions Cross-Entropy Loss.srt	SRT	5.25 KB
2. Introduction to Neural Networks.html	HTML	165 B
20. Common Objective Functions Cross-Entropy Loss.html	HTML	165 B
21. Optimization Algorithm 1-Parameter Gradient Descent.mp4	MP4	55.63 MB
21. Optimization Algorithm 1-Parameter Gradient Descent.srt	SRT	8.47 KB
21.1 GD-function-example.xlsx.xlsx	XLSX	42.33 KB
22. Optimization Algorithm 1-Parameter Gradient Descent.html	HTML	165 B
23. Optimization Algorithm n-Parameter Gradient Descent.mp4	MP4	39.43 MB
23. Optimization Algorithm n-Parameter Gradient Descent.srt	SRT	7.53 KB
24. Optimization Algorithm n-Parameter Gradient Descent.html	HTML	165 B
3. Training the Model.mp4	MP4	28.71 MB
3. Training the Model.srt	SRT	4.28 KB
3.1 Course Notes - Section 2.pdf.pdf	PDF	578.08 KB
4. Training the Model.html	HTML	165 B
5. Types of Machine Learning.mp4	MP4	45.1 MB
5. Types of Machine Learning.srt	SRT	5.23 KB
6. Types of Machine Learning.html	HTML	165 B
7. The Linear Model (Linear Algebraic Version).mp4	MP4	28.45 MB
7. The Linear Model (Linear Algebraic Version).srt	SRT	3.88 KB
8. The Linear Model.html	HTML	165 B
9. The Linear Model with Multiple Inputs.mp4	MP4	25.11 MB
9. The Linear Model with Multiple Inputs.srt	SRT	3.09 KB

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

1. Basic NN Example (Part 1).mp4	MP4	20.6 MB
1. Basic NN Example (Part 1).srt	SRT	4.46 KB
1.1 Bais NN Example Part 1.html	HTML	136 B
1.2 Shortcuts-for-Jupyter.pdf.pdf	PDF	619.17 KB
2. Basic NN Example (Part 2).mp4	MP4	34.94 MB
2. Basic NN Example (Part 2).srt	SRT	6.79 KB
2.1 Basic NN Example (Part 2).html	HTML	136 B
3. Basic NN Example (Part 3).mp4	MP4	24.4 MB
3. Basic NN Example (Part 3).srt	SRT	4.46 KB
3.1 Basic NN Example (Part 3).html	HTML	136 B
4. Basic NN Example (Part 4).mp4	MP4	61.13 MB
4. Basic NN Example (Part 4).srt	SRT	10.86 KB
4.1 Basic NN Example (Part 4).html	HTML	145 B
5. Basic NN Example Exercises.html	HTML	1.66 KB
5.1 Basic NN Example Exercise 3b Solution.html	HTML	154 B
5.10 Basic NN Example Exercise 5 Solution.html	HTML	149 B
5.2 Basic NN Example Exercise 1 Solution.html	HTML	149 B
5.3 Basic NN Example Exercise 3a Solution.html	HTML	154 B
5.4 Basic NN Example Exercise 3d Solution.html	HTML	154 B
5.5 Basic NN Example Exercise 3c Solution.html	HTML	154 B
5.6 Basic NN Example (All Exercises).html	HTML	143 B
5.7 Basic NN Example Exercise 4 Solution.html	HTML	149 B
5.8 Basic NN Example Exercise 6 Solution.html	HTML	149 B
5.9 Basic NN Example Exercise 2 Solution.html	HTML	149 B

44. Deep Learning - TensorFlow 2.0 Introduction

1. How to Install TensorFlow 2.0.mp4	MP4	38.76 MB
1. How to Install TensorFlow 2.0.srt	SRT	6.38 KB
1.1 Shortcuts-for-Jupyter.pdf.pdf	PDF	619.17 KB
2. TensorFlow Outline and Comparison with Other Libraries.mp4	MP4	33.51 MB
2. TensorFlow Outline and Comparison with Other Libraries.srt	SRT	5.24 KB
3. TensorFlow 1 vs TensorFlow 2.mp4	MP4	21.99 MB
3. TensorFlow 1 vs TensorFlow 2.srt	SRT	3.63 KB
4. A Note on TensorFlow 2 Syntax.mp4	MP4	6.75 MB
4. A Note on TensorFlow 2 Syntax.srt	SRT	1.36 KB
4.1 A note on TensorFlow 2 Syntax.html	HTML	134 B
5. Types of File Formats Supporting TensorFlow.mp4	MP4	16.4 MB
5. Types of File Formats Supporting TensorFlow.srt	SRT	3.5 KB
5.1 Types of File Formats.html	HTML	134 B
6. Outlining the Model with TensorFlow 2.mp4	MP4	34.69 MB
6. Outlining the Model with TensorFlow 2.srt	SRT	7.83 KB
6.1 Outlining the Model.html	HTML	134 B
7. Interpreting the Result and Extracting the Weights and Bias.mp4	MP4	30.27 MB
7. Interpreting the Result and Extracting the Weights and Bias.srt	SRT	6.23 KB
7.1 Interpreting the Result.html	HTML	134 B
8. Customizing a TensorFlow 2 Model.mp4	MP4	22.91 MB
8. Customizing a TensorFlow 2 Model.srt	SRT	4.11 KB
8.1 Customizing a TensorFlow 2 Model.html	HTML	134 B
9. Basic NN with TensorFlow Exercises.html	HTML	1.29 KB
9.1 Basic NN with TensorFlow.html	HTML	134 B

45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks

1. What is a Layer.mp4	MP4	12.5 MB
1. What is a Layer.srt	SRT	2.39 KB
1.1 Course Notes - Section 6.pdf.pdf	PDF	936.42 KB
2. What is a Deep Net.mp4	MP4	29.53 MB
2. What is a Deep Net.srt	SRT	3.24 KB
2.1 Course Notes - Section 6.pdf.pdf	PDF	936.42 KB
3. Digging into a Deep Net.mp4	MP4	59.36 MB
3. Digging into a Deep Net.srt	SRT	6.7 KB
4. Non-Linearities and their Purpose.mp4	MP4	27.68 MB
4. Non-Linearities and their Purpose.srt	SRT	3.88 KB
5. Activation Functions.mp4	MP4	25.09 MB
5. Activation Functions.srt	SRT	5.25 KB
6. Activation Functions Softmax Activation.mp4	MP4	25.92 MB
6. Activation Functions Softmax Activation.srt	SRT	4.46 KB
7. Backpropagation.mp4	MP4	34.95 MB
7. Backpropagation.srt	SRT	4.46 KB
8. Backpropagation picture.mp4	MP4	19.5 MB
8. Backpropagation picture.srt	SRT	3.97 KB
9. Backpropagation - A Peek into the Mathematics of Optimization.html	HTML	539 B
9.1 Backpropagation-a-peek-into-the-Mathematics-of-Optimization.pdf.pdf	PDF	182.36 KB

46. Deep Learning - Overfitting

1. What is Overfitting.mp4	MP4	31.09 MB
1. What is Overfitting.srt	SRT	5.58 KB
2. Underfitting and Overfitting for Classification.mp4	MP4	25.07 MB
2. Underfitting and Overfitting for Classification.srt	SRT	2.63 KB
3. What is Validation.mp4	MP4	32.71 MB
3. What is Validation.srt	SRT	4.9 KB
4. Training, Validation, and Test Datasets.mp4	MP4	25.19 MB
4. Training, Validation, and Test Datasets.srt	SRT	3.6 KB
5. N-Fold Cross Validation.mp4	MP4	20.7 MB
5. N-Fold Cross Validation.srt	SRT	4.17 KB
6. Early Stopping or When to Stop Training.mp4	MP4	24.17 MB
6. Early Stopping or When to Stop Training.srt	SRT	6.86 KB

47. Deep Learning - Initialization

1. What is Initialization.mp4	MP4	21.76 MB
1. What is Initialization.srt	SRT	3.5 KB
2. Types of Simple Initializations.mp4	MP4	14.32 MB
2. Types of Simple Initializations.srt	SRT	3.67 KB
3. State-of-the-Art Method - (Xavier) Glorot Initialization.mp4	MP4	17.14 MB
3. State-of-the-Art Method - (Xavier) Glorot Initialization.srt	SRT	3.71 KB

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

1. Stochastic Gradient Descent.mp4	MP4	28.68 MB
1. Stochastic Gradient Descent.srt	SRT	4.81 KB
2. Problems with Gradient Descent.mp4	MP4	11.01 MB
2. Problems with Gradient Descent.srt	SRT	2.83 KB
3. Momentum.mp4	MP4	16.43 MB
3. Momentum.srt	SRT	3.45 KB
4. Learning Rate Schedules, or How to Choose the Optimal Learning Rate.mp4	MP4	29.08 MB
4. Learning Rate Schedules, or How to Choose the Optimal Learning Rate.srt	SRT	5.93 KB
5. Learning Rate Schedules Visualized.mp4	MP4	9.12 MB
5. Learning Rate Schedules Visualized.srt	SRT	2.16 KB
6. Adaptive Learning Rate Schedules (AdaGrad and RMSprop ).mp4	MP4	26.35 MB
6. Adaptive Learning Rate Schedules (AdaGrad and RMSprop ).srt	SRT	5.21 KB
7. Adam (Adaptive Moment Estimation).mp4	MP4	22.36 MB
7. Adam (Adaptive Moment Estimation).srt	SRT	3.33 KB

49. Deep Learning - Preprocessing

1. Preprocessing Introduction.mp4	MP4	27.78 MB
1. Preprocessing Introduction.srt	SRT	3.87 KB
2. Types of Basic Preprocessing.mp4	MP4	11.84 MB
2. Types of Basic Preprocessing.srt	SRT	1.63 KB
3. Standardization.mp4	MP4	50.99 MB
3. Standardization.srt	SRT	5.97 KB
4. Preprocessing Categorical Data.mp4	MP4	18.61 MB
4. Preprocessing Categorical Data.srt	SRT	2.76 KB
5. Binary and One-Hot Encoding.mp4	MP4	28.95 MB
5. Binary and One-Hot Encoding.srt	SRT	4.81 KB

5. The Field of Data Science - Popular Data Science Techniques

1. Techniques for Working with Traditional Data.mp4	MP4	138.31 MB
1. Techniques for Working with Traditional Data.srt	SRT	10.62 KB
10. Techniques for Working with Traditional Methods.mp4	MP4	111.66 MB
10. Techniques for Working with Traditional Methods.srt	SRT	10.98 KB
11. Techniques for Working with Traditional Methods.html	HTML	165 B
12. Real Life Examples of Traditional Methods.mp4	MP4	42.78 MB
12. Real Life Examples of Traditional Methods.srt	SRT	3.58 KB
13. Machine Learning (ML) Techniques.mp4	MP4	99.32 MB
13. Machine Learning (ML) Techniques.srt	SRT	8.73 KB
14. Machine Learning (ML) Techniques.html	HTML	165 B
15. Types of Machine Learning.mp4	MP4	125.15 MB
15. Types of Machine Learning.srt	SRT	10.51 KB
16. Types of Machine Learning.html	HTML	165 B
17. Real Life Examples of Machine Learning (ML).mp4	MP4	36.82 MB
17. Real Life Examples of Machine Learning (ML).srt	SRT	2.9 KB
18. Real Life Examples of Machine Learning (ML).html	HTML	165 B
2. Techniques for Working with Traditional Data.html	HTML	165 B
3. Real Life Examples of Traditional Data.mp4	MP4	29.93 MB
3. Real Life Examples of Traditional Data.srt	SRT	2.24 KB
4. Techniques for Working with Big Data.mp4	MP4	75.5 MB
4. Techniques for Working with Big Data.srt	SRT	5.67 KB
5. Techniques for Working with Big Data.html	HTML	165 B
6. Real Life Examples of Big Data.mp4	MP4	22.04 MB
6. Real Life Examples of Big Data.srt	SRT	1.88 KB
7. Business Intelligence (BI) Techniques.mp4	MP4	89.94 MB
7. Business Intelligence (BI) Techniques.srt	SRT	8.63 KB
8. Business Intelligence (BI) Techniques.html	HTML	165 B
9. Real Life Examples of Business Intelligence (BI).mp4	MP4	29.54 MB
9. Real Life Examples of Business Intelligence (BI).srt	SRT	2.13 KB

50. Deep Learning - Classifying on the MNIST Dataset

1. MNIST The Dataset.mp4	MP4	13.39 MB
1. MNIST The Dataset.srt	SRT	3.58 KB
10. MNIST Learning.mp4	MP4	40.96 MB
10. MNIST Learning.srt	SRT	7.94 KB
10.1 MNIST Learning.html	HTML	134 B
11. MNIST - Exercises.html	HTML	1.98 KB
11.1 MNIST - Exercises.html	HTML	134 B
12. MNIST Testing the Model.mp4	MP4	29.53 MB
12. MNIST Testing the Model.srt	SRT	6.02 KB
12.1 MNIST Testing the Model.html	HTML	134 B
2. MNIST How to Tackle the MNIST.mp4	MP4	18.67 MB
2. MNIST How to Tackle the MNIST.srt	SRT	3.52 KB
3. MNIST Importing the Relevant Packages and Loading the Data.mp4	MP4	16.32 MB
3. MNIST Importing the Relevant Packages and Loading the Data.srt	SRT	3.07 KB
3.1 MNIST Importing the Relevant Packages.html	HTML	134 B
4. MNIST Preprocess the Data - Create a Validation Set and Scale It.mp4	MP4	29.05 MB
4. MNIST Preprocess the Data - Create a Validation Set and Scale It.srt	SRT	6.27 KB
5. MNIST Preprocess the Data - Scale the Test Data - Exercise.html	HTML	79 B
5.1 MNIST Preprocess the Data.html	HTML	134 B
6. MNIST Preprocess the Data - Shuffle and Batch.mp4	MP4	41.52 MB
6. MNIST Preprocess the Data - Shuffle and Batch.srt	SRT	9.26 KB
7. MNIST Preprocess the Data - Shuffle and Batch - Exercise.html	HTML	79 B
7.1 MNIST Preprocess the Data.html	HTML	134 B
8. MNIST Outline the Model.mp4	MP4	28.23 MB
8. MNIST Outline the Model.srt	SRT	7.2 KB
8.1 MNIST Outline the Model.html	HTML	134 B
9. MNIST Select the Loss and the Optimizer.mp4	MP4	13.91 MB
9. MNIST Select the Loss and the Optimizer.srt	SRT	3.02 KB
9.1 MNIST Select the Loss and the Optimizer.html	HTML	134 B

51. Deep Learning - Business Case Example

1. Business Case Exploring the Dataset and Identifying Predictors.mp4	MP4	66.28 MB
1. Business Case Exploring the Dataset and Identifying Predictors.srt	SRT	10.66 KB
1.1 Audiobooks_data.csv.csv	CSV	710.77 KB
1.2 Business Case Exploring the Dataset.html	HTML	134 B
10. Setting an Early Stopping Mechanism - Exercise.html	HTML	192 B
11. Business Case Testing the Model.mp4	MP4	10.8 MB
11. Business Case Testing the Model.srt	SRT	2.04 KB
11.1 Business Case Testing the Model.html	HTML	134 B
12. Business Case Final Exercise.html	HTML	433 B
12.1 Business Case Final Exercise.html	HTML	134 B
2. Business Case Outlining the Solution.mp4	MP4	7.31 MB
2. Business Case Outlining the Solution.srt	SRT	2 KB
3. Business Case Balancing the Dataset.mp4	MP4	30.44 MB
3. Business Case Balancing the Dataset.srt	SRT	4.5 KB
4. Business Case Preprocessing the Data.mp4	MP4	84.33 MB
4. Business Case Preprocessing the Data.srt	SRT	12.3 KB
4.1 Business Case Preprocessing the Data.html	HTML	134 B
5. Business Case Preprocessing the Data - Exercise.html	HTML	370 B
5.1 Business Case Preprocessing the Data.html	HTML	134 B
6. Business Case Load the Preprocessed Data.mp4	MP4	17.57 MB
6. Business Case Load the Preprocessed Data.srt	SRT	4.7 KB
7. Business Case Load the Preprocessed Data - Exercise.html	HTML	79 B
7.1 Business Case Load the Preprocessed Data.html	HTML	134 B
8. Business Case Learning and Interpreting the Result.mp4	MP4	31.18 MB
8. Business Case Learning and Interpreting the Result.srt	SRT	6.27 KB
8.1 Business Case Learning and Interpreting.html	HTML	134 B
9. Business Case Setting an Early Stopping Mechanism.mp4	MP4	49.81 MB
9. Business Case Setting an Early Stopping Mechanism.srt	SRT	7.82 KB
9.1 Business Case Setting an Early Stopping Mechanism.html	HTML	134 B

52. Deep Learning - Conclusion

1. Summary on What You've Learned.mp4	MP4	39.75 MB
1. Summary on What You've Learned.srt	SRT	5.21 KB
2. What's Further out there in terms of Machine Learning.mp4	MP4	20.12 MB
2. What's Further out there in terms of Machine Learning.srt	SRT	2.55 KB
3. DeepMind and Deep Learning.html	HTML	1.05 KB
4. An overview of CNNs.mp4	MP4	58.79 MB
4. An overview of CNNs.srt	SRT	6.44 KB
5. An Overview of RNNs.mp4	MP4	25.26 MB
5. An Overview of RNNs.srt	SRT	3.71 KB
6. An Overview of non-NN Approaches.mp4	MP4	44.78 MB
6. An Overview of non-NN Approaches.srt	SRT	5.12 KB

53. Appendix Deep Learning - TensorFlow 1 Introduction

1. READ ME!!!!.html	HTML	564 B
10. Basic NN Example with TF Exercises.html	HTML	1.59 KB
10.1 Basic NN Example with TensorFlow Exercise 2.3 Solution.html	HTML	162 B
10.2 Basic NN Example with TensorFlow Exercise 2.1 Solution.html	HTML	162 B
10.3 Basic NN Example with TensorFlow Exercise 3 Solution.html	HTML	160 B
10.4 Basic NN Example with TensorFlow Exercise 1 Solution.html	HTML	160 B
10.5 Basic NN Example with TensorFlow (All Exercises).html	HTML	154 B
10.6 Basic NN Example with TensorFlow Exercise 4 Solution.html	HTML	160 B
10.7 Basic NN Example with TensorFlow Exercise 2.2 Solution.html	HTML	162 B
10.8 Basic NN Example with TensorFlow Exercise 2.4 Solution.html	HTML	162 B
2. How to Install TensorFlow 1.mp4	MP4	11.35 MB
2. How to Install TensorFlow 1.srt	SRT	3.42 KB
3. A Note on Installing Packages in Anaconda.html	HTML	2.3 KB
4. TensorFlow Intro.mp4	MP4	47.7 MB
4. TensorFlow Intro.srt	SRT	5.2 KB
5. Actual Introduction to TensorFlow.mp4	MP4	17.41 MB
5. Actual Introduction to TensorFlow.srt	SRT	2.17 KB
5.1 Actual Introduction to TensorFlow.html	HTML	134 B
5.2 Shortcuts-for-Jupyter.pdf.pdf	PDF	619.17 KB
6. Types of File Formats, supporting Tensors.mp4	MP4	20.35 MB
6. Types of File Formats, supporting Tensors.srt	SRT	3.45 KB
6.1 Basic NN Example with TensorFlow (Part 1).html	HTML	154 B
7. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases.mp4	MP4	38.5 MB
7. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases.srt	SRT	7.36 KB
7.1 Basic NN Example with TensorFlow (Part 2).html	HTML	154 B
8. Basic NN Example with TF Loss Function and Gradient Descent.mp4	MP4	32.51 MB
8. Basic NN Example with TF Loss Function and Gradient Descent.srt	SRT	4.83 KB
8.1 Basic NN Example with TensorFlow (Part 3).html	HTML	154 B
9. Basic NN Example with TF Model Output.mp4	MP4	37.39 MB
9. Basic NN Example with TF Model Output.srt	SRT	7.93 KB
9.1 Basic NN Example with TensorFlow (Complete).html	HTML	156 B

54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset

1. MNIST What is the MNIST Dataset.mp4	MP4	17.82 MB
1. MNIST What is the MNIST Dataset.srt	SRT	3.49 KB
10. MNIST Solutions.html	HTML	2.19 KB
10.1 TensorFlow MNIST '6. Batch size (Part 1)' Solution.html	HTML	162 B
10.10 TensorFlow MNIST '5. Activation Functions (Part 2)' Solution.html	HTML	172 B
10.11 TensorFlow MNIST '9. Learning Rate (Part 2)' Solution.html	HTML	165 B
10.2 TensorFlow MNIST '8. Learning Rate (Part 1)' Solution.html	HTML	165 B
10.3 TensorFlow MNIST '4. Activation Functions (Part 1)' Solution.html	HTML	172 B
10.4 TensorFlow MNIST '2. Depth' Solution.html	HTML	150 B
10.5 TensorFlow MNIST 'Time' Solution.html	HTML	162 B
10.6 TensorFlow MNIST '1. Width' Solution.html	HTML	150 B
10.7 TensorFlow MNIST 'Around 98% Accuracy' Solution.html	HTML	157 B
10.8 TensorFlow MNIST '3. Width and Depth' Solution.html	HTML	160 B
10.9 TensorFlow MNIST '7. Batch size (Part 2)' Solution.html	HTML	162 B
11. MNIST Exercises.html	HTML	2.13 KB
11.1 TensorFlow MNIST All Exercises.html	HTML	144 B
2. MNIST How to Tackle the MNIST.mp4	MP4	22.58 MB
2. MNIST How to Tackle the MNIST.srt	SRT	3.62 KB
3. MNIST Relevant Packages.mp4	MP4	18.9 MB
3. MNIST Relevant Packages.srt	SRT	2.12 KB
3.1 TensorFlow MNIST Part 1 with Comments.html	HTML	159 B
4. MNIST Model Outline.mp4	MP4	56.38 MB
4. MNIST Model Outline.srt	SRT	9.06 KB
4.1 TensorFlow MNIST Part 2 with Comments.html	HTML	159 B
5. MNIST Loss and Optimization Algorithm.mp4	MP4	25.86 MB
5. MNIST Loss and Optimization Algorithm.srt	SRT	3.53 KB
5.1 TensorFlow MNIST Part 3 with Comments.html	HTML	159 B
6. Calculating the Accuracy of the Model.mp4	MP4	43.9 MB
6. Calculating the Accuracy of the Model.srt	SRT	5.19 KB
6.1 TensorFlow MNIST Part 4 with Comments.html	HTML	159 B
7. MNIST Batching and Early Stopping.mp4	MP4	12.86 MB
7. MNIST Batching and Early Stopping.srt	SRT	2.92 KB
7.1 TensorFlow MNIST Part 5 with Comments.html	HTML	159 B
8. MNIST Learning.mp4	MP4	46.68 MB
8. MNIST Learning.srt	SRT	10.19 KB
8.1 TensorFlow MNIST Part 6 with Comments.html	HTML	159 B
9. MNIST Results and Testing.mp4	MP4	62.77 MB
9. MNIST Results and Testing.srt	SRT	8.17 KB
9.1 TensorFlow MNIST Complete Code with Comments.html	HTML	152 B

55. Appendix Deep Learning - TensorFlow 1 Business Case

1. Business Case Getting acquainted with the dataset.mp4	MP4	87.66 MB
1. Business Case Getting acquainted with the dataset.srt	SRT	10.78 KB
1.1 Audiobooks_data.csv.csv	CSV	710.77 KB
10. Business Case Testing the Model.mp4	MP4	11.2 MB
10. Business Case Testing the Model.srt	SRT	2.71 KB
11. Business Case A Comment on the Homework.mp4	MP4	36.39 MB
11. Business Case A Comment on the Homework.srt	SRT	5.3 KB
11.1 TensorFlow Business Case Homework.html	HTML	134 B
12. Business Case Final Exercise.html	HTML	439 B
12.1 TensorFlow Business Case Homework.html	HTML	134 B
2. Business Case Outlining the Solution.mp4	MP4	12.21 MB
2. Business Case Outlining the Solution.srt	SRT	2.52 KB
3. The Importance of Working with a Balanced Dataset.mp4	MP4	39.41 MB
3. The Importance of Working with a Balanced Dataset.srt	SRT	4.48 KB
4. Business Case Preprocessing.mp4	MP4	103.42 MB
4. Business Case Preprocessing.srt	SRT	13.45 KB
4.1 Audiobooks Preprocessing.html	HTML	134 B
5. Business Case Preprocessing Exercise.html	HTML	383 B
5.1 Preprocessing Exercise.html	HTML	134 B
6. Creating a Data Provider.mp4	MP4	76.34 MB
6. Creating a Data Provider.srt	SRT	7.75 KB
6.1 Creating a Data Provider (Class).html	HTML	134 B
7. Business Case Model Outline.mp4	MP4	53.12 MB
7. Business Case Model Outline.srt	SRT	6.94 KB
7.1 TensorFlow Business Case Model Outline.html	HTML	134 B
8. Business Case Optimization.mp4	MP4	41.52 MB
8. Business Case Optimization.srt	SRT	6.6 KB
8.1 TensorFlow Business Case Optimization.html	HTML	134 B
9. Business Case Interpretation.mp4	MP4	25.74 MB
9. Business Case Interpretation.srt	SRT	2.94 KB
9.1 TensorFlow Business Case Interpretation.html	HTML	134 B

56. Software Integration

1. What are Data, Servers, Clients, Requests, and Responses.mp4	MP4	69.03 MB
1. What are Data, Servers, Clients, Requests, and Responses.srt	SRT	5.93 KB
10. Software Integration - Explained.html	HTML	165 B
2. What are Data, Servers, Clients, Requests, and Responses.html	HTML	165 B
3. What are Data Connectivity, APIs, and Endpoints.mp4	MP4	104.08 MB
3. What are Data Connectivity, APIs, and Endpoints.srt	SRT	8.54 KB
4. What are Data Connectivity, APIs, and Endpoints.html	HTML	165 B
5. Taking a Closer Look at APIs.mp4	MP4	115.59 MB
5. Taking a Closer Look at APIs.srt	SRT	10.39 KB
6. Taking a Closer Look at APIs.html	HTML	165 B
7. Communication between Software Products through Text Files.mp4	MP4	60.34 MB
7. Communication between Software Products through Text Files.srt	SRT	5.47 KB
8. Communication between Software Products through Text Files.html	HTML	165 B
9. Software Integration - Explained.mp4	MP4	63.69 MB
9. Software Integration - Explained.srt	SRT	6.71 KB

57. Case Study - What's Next in the Course

1. Game Plan for this Python, SQL, and Tableau Business Exercise.mp4	MP4	52.3 MB
1. Game Plan for this Python, SQL, and Tableau Business Exercise.srt	SRT	5.46 KB
2. The Business Task.mp4	MP4	39.15 MB
2. The Business Task.srt	SRT	3.74 KB
3. Introducing the Data Set.mp4	MP4	40.87 MB
3. Introducing the Data Set.srt	SRT	4.15 KB
4. Introducing the Data Set.html	HTML	165 B

58. Case Study - Preprocessing the 'Absenteeism_data'

1. What to Expect from the Following Sections.html	HTML	2.48 KB
1.1 Absenteeism_data.csv.csv	CSV	32.05 KB
1.2 data_preprocessing_homework.pdf.pdf	PDF	134.47 KB
1.3 df_preprocessed.csv.csv	CSV	29.11 KB
10. Analyzing the Reasons for Absence.mp4	MP4	40.57 MB
10. Analyzing the Reasons for Absence.srt	SRT	5.85 KB
11. Obtaining Dummies from a Single Feature.mp4	MP4	81.11 MB
11. Obtaining Dummies from a Single Feature.srt	SRT	10.2 KB
12. EXERCISE - Obtaining Dummies from a Single Feature.html	HTML	129 B
13. SOLUTION - Obtaining Dummies from a Single Feature.html	HTML	116 B
14. Dropping a Dummy Variable from the Data Set.html	HTML	2.34 KB
15. More on Dummy Variables A Statistical Perspective.mp4	MP4	13.75 MB
15. More on Dummy Variables A Statistical Perspective.srt	SRT	1.7 KB
16. Classifying the Various Reasons for Absence.mp4	MP4	74.61 MB
16. Classifying the Various Reasons for Absence.srt	SRT	10.02 KB
17. Using .concat() in Python.mp4	MP4	38.73 MB
17. Using .concat() in Python.srt	SRT	5.07 KB
18. EXERCISE - Using .concat() in Python.html	HTML	189 B
19. SOLUTION - Using .concat() in Python.html	HTML	142 B
2. Importing the Absenteeism Data in Python.mp4	MP4	23.15 MB
2. Importing the Absenteeism Data in Python.srt	SRT	3.99 KB
20. Reordering Columns in a Pandas DataFrame in Python.mp4	MP4	14.02 MB
20. Reordering Columns in a Pandas DataFrame in Python.srt	SRT	1.82 KB
21. EXERCISE - Reordering Columns in a Pandas DataFrame in Python.html	HTML	167 B
22. SOLUTION - Reordering Columns in a Pandas DataFrame in Python.html	HTML	471 B
23. Creating Checkpoints while Coding in Jupyter.mp4	MP4	25.67 MB
23. Creating Checkpoints while Coding in Jupyter.srt	SRT	3.64 KB
23.1 Creating Checkpoints.html	HTML	176 B
24. EXERCISE - Creating Checkpoints while Coding in Jupyter.html	HTML	137 B
25. SOLUTION - Creating Checkpoints while Coding in Jupyter.html	HTML	117 B
26. Analyzing the Dates from the Initial Data Set.mp4	MP4	57.28 MB
26. Analyzing the Dates from the Initial Data Set.srt	SRT	8.43 KB
27. Extracting the Month Value from the Date Column.mp4	MP4	47.79 MB
27. Extracting the Month Value from the Date Column.srt	SRT	7.97 KB
28. Extracting the Day of the Week from the Date Column.mp4	MP4	27.96 MB
28. Extracting the Day of the Week from the Date Column.srt	SRT	4.47 KB
29. EXERCISE - Removing the Date Column.html	HTML	1.21 KB
29.1 Removing the “Date” Column.html	HTML	188 B
29.2 Preprocessing.html	HTML	191 B
3. Checking the Content of the Data Set.mp4	MP4	61.91 MB
3. Checking the Content of the Data Set.srt	SRT	7.04 KB
30. Analyzing Several Straightforward Columns for this Exercise.mp4	MP4	29.52 MB
30. Analyzing Several Straightforward Columns for this Exercise.srt	SRT	4.34 KB
31. Working on Education, Children, and Pets.mp4	MP4	39.59 MB
31. Working on Education, Children, and Pets.srt	SRT	5.67 KB
32. Final Remarks of this Section.mp4	MP4	21.63 MB
32. Final Remarks of this Section.srt	SRT	2.47 KB
32.1 Exercises and solutions.html	HTML	170 B
32.2 Preprocessing.html	HTML	156 B
33. A Note on Exporting Your Data as a .csv File.html	HTML	883 B
4. Introduction to Terms with Multiple Meanings.mp4	MP4	27.85 MB
4. Introduction to Terms with Multiple Meanings.srt	SRT	4.05 KB
5. What's Regression Analysis - a Quick Refresher.html	HTML	2.84 KB
6. Using a Statistical Approach towards the Solution to the Exercise.mp4	MP4	20.19 MB
6. Using a Statistical Approach towards the Solution to the Exercise.srt	SRT	2.8 KB
7. Dropping a Column from a DataFrame in Python.mp4	MP4	61.76 MB
7. Dropping a Column from a DataFrame in Python.srt	SRT	7.81 KB
8. EXERCISE - Dropping a Column from a DataFrame in Python.html	HTML	866 B
9. SOLUTION - Dropping a Column from a DataFrame in Python.html	HTML	113 B

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

1. Exploring the Problem with a Machine Learning Mindset.mp4	MP4	27.54 MB
1. Exploring the Problem with a Machine Learning Mindset.srt	SRT	4.58 KB
1.1 Absenteeism_preprocessed.csv.csv	CSV	29.13 KB
10. Interpreting the Coefficients of the Logistic Regression.mp4	MP4	40.41 MB
10. Interpreting the Coefficients of the Logistic Regression.srt	SRT	7.25 KB
11. Backward Elimination or How to Simplify Your Model.mp4	MP4	39.56 MB
11. Backward Elimination or How to Simplify Your Model.srt	SRT	5.24 KB
11.1 Logistic Regression prior to Backward Elimination.html	HTML	226 B
12. Testing the Model We Created.mp4	MP4	49.06 MB
12. Testing the Model We Created.srt	SRT	6.5 KB
13. Saving the Model and Preparing it for Deployment.mp4	MP4	37.45 MB
13. Saving the Model and Preparing it for Deployment.srt	SRT	5.57 KB
14. ARTICLE - A Note on 'pickling'.html	HTML	2.14 KB
15. EXERCISE - Saving the Model (and Scaler).html	HTML	284 B
15.1 Logistic Regression with Comments.html	HTML	210 B
15.2 Logistic Regression.html	HTML	196 B
16. Preparing the Deployment of the Model through a Module.mp4	MP4	44.49 MB
16. Preparing the Deployment of the Model through a Module.srt	SRT	5.62 KB
2. Creating the Targets for the Logistic Regression.mp4	MP4	45.8 MB
2. Creating the Targets for the Logistic Regression.srt	SRT	8.39 KB
3. Selecting the Inputs for the Logistic Regression.mp4	MP4	16.75 MB
3. Selecting the Inputs for the Logistic Regression.srt	SRT	3.66 KB
4. Standardizing the Data.mp4	MP4	20.6 MB
4. Standardizing the Data.srt	SRT	4.19 KB
5. Splitting the Data for Training and Testing.mp4	MP4	52.76 MB
5. Splitting the Data for Training and Testing.srt	SRT	8.1 KB
6. Fitting the Model and Assessing its Accuracy.mp4	MP4	41.62 MB
6. Fitting the Model and Assessing its Accuracy.srt	SRT	7.38 KB
7. Creating a Summary Table with the Coefficients and Intercept.mp4	MP4	38.87 MB
7. Creating a Summary Table with the Coefficients and Intercept.srt	SRT	6.62 KB
8. Interpreting the Coefficients for Our Problem.mp4	MP4	52.37 MB
8. Interpreting the Coefficients for Our Problem.srt	SRT	7.89 KB
9. Standardizing only the Numerical Variables (Creating a Custom Scaler).mp4	MP4	41.19 MB
9. Standardizing only the Numerical Variables (Creating a Custom Scaler).srt	SRT	5.03 KB
9.1 Logistic Regression prior to Custom Scaler.html	HTML	219 B

6. The Field of Data Science - Popular Data Science Tools

1. Necessary Programming Languages and Software Used in Data Science.mp4	MP4	103.51 MB
1. Necessary Programming Languages and Software Used in Data Science.srt	SRT	7.29 KB
2. Necessary Programming Languages and Software Used in Data Science.html	HTML	165 B

60. Case Study - Loading the 'absenteeism_module'

1. Are You Sure You're All Set.html	HTML	519 B
1.1 5 Files Needed to Deploy the Model.html	HTML	134 B
2. Deploying the 'absenteeism_module' - Part I.mp4	MP4	25.48 MB
2. Deploying the 'absenteeism_module' - Part I.srt	SRT	4.76 KB
3. Deploying the 'absenteeism_module' - Part II.mp4	MP4	54.26 MB
3. Deploying the 'absenteeism_module' - Part II.srt	SRT	7.53 KB
4. Exporting the Obtained Data Set as a .csv.html	HTML	998 B
4.1 Deploying the ‘absenteeism_module.html	HTML	185 B

61. Case Study - Analyzing the Predicted Outputs in Tableau

1. EXERCISE - Age vs Probability.html	HTML	385 B
2. Analyzing Age vs Probability in Tableau.mp4	MP4	56.55 MB
2. Analyzing Age vs Probability in Tableau.srt	SRT	10.01 KB
3. EXERCISE - Reasons vs Probability.html	HTML	397 B
4. Analyzing Reasons vs Probability in Tableau.mp4	MP4	59.33 MB
4. Analyzing Reasons vs Probability in Tableau.srt	SRT	9.54 KB
5. EXERCISE - Transportation Expense vs Probability.html	HTML	553 B
6. Analyzing Transportation Expense vs Probability in Tableau.mp4	MP4	40.63 MB
6. Analyzing Transportation Expense vs Probability in Tableau.srt	SRT	7.21 KB

62. Bonus lecture

1. Bonus Lecture Next Steps.html

HTML

2.56 KB

7. The Field of Data Science - Careers in Data Science

1. Finding the Job - What to Expect and What to Look for.mp4	MP4	54.38 MB
1. Finding the Job - What to Expect and What to Look for.srt	SRT	4.49 KB
2. Finding the Job - What to Expect and What to Look for.html	HTML	165 B

8. The Field of Data Science - Debunking Common Misconceptions

1. Debunking Common Misconceptions.mp4	MP4	72.85 MB
1. Debunking Common Misconceptions.srt	SRT	5.29 KB
2. Debunking Common Misconceptions.html	HTML	165 B

9. Part 2 Probability

1. The Basic Probability Formula.mp4	MP4	85.91 MB
1. The Basic Probability Formula.srt	SRT	8.9 KB
1.1 Course Notes - Basic Probability.pdf.pdf	PDF	371.05 KB
2. The Basic Probability Formula.html	HTML	165 B
3. Computing Expected Values.mp4	MP4	75.68 MB
3. Computing Expected Values.srt	SRT	6.68 KB
4. Computing Expected Values.html	HTML	165 B
5. Frequency.mp4	MP4	61.74 MB
5. Frequency.srt	SRT	6.42 KB
6. Frequency.html	HTML	165 B
7. Events and Their Complements.mp4	MP4	59.15 MB
7. Events and Their Complements.srt	SRT	6.71 KB
8. Events and Their Complements.html	HTML	165 B

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