Download 2022 Python for Machine Learning & Data Science Masterclass Torrent

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2022 Python for Machine Learning & Data Science Masterclass

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01 - Introduction to Course

001 Welcome to the Course_.html	HTML	1.64 KB
002 COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP_.mp4	MP4	7.22 MB
002 COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP___en.srt	SRT	7.16 KB
003 Anaconda Python and Jupyter Install and Setup.mp4	MP4	84.53 MB
003 Anaconda Python and Jupyter Install and Setup__en.srt	SRT	21.55 KB
004 Note on Environment Setup - Please read me_.html	HTML	857 B
005 Environment Setup.mp4	MP4	35.71 MB
005 Environment Setup__en.srt	SRT	14.49 KB
28813464-requirements.txt	TXT	221 B
33985574-UNZIP-FOR-NOTEBOOKS-FINAL.zip	ZIP	67.11 MB
33985614-UNZIP-FOR-NOTEBOOKS-FINAL.zip	ZIP	67.11 MB
external-assets-links.txt	TXT	132 B

02 - OPTIONAL_ Python Crash Course

001 OPTIONAL_ Python Crash Course.html	HTML	472 B
002 Python Crash Course - Part One.mp4	MP4	29.74 MB
002 Python Crash Course - Part One__en.srt	SRT	24.63 KB
003 Python Crash Course - Part Two.mp4	MP4	57.63 MB
003 Python Crash Course - Part Two__en.srt	SRT	18.03 KB
004 Python Crash Course - Part Three.mp4	MP4	32.01 MB
004 Python Crash Course - Part Three__en.srt	SRT	16.58 KB
005 Python Crash Course - Exercise Questions.mp4	MP4	3.41 MB
005 Python Crash Course - Exercise Questions__en.srt	SRT	2.54 KB
006 Python Crash Course - Exercise Solutions.mp4	MP4	48.7 MB
006 Python Crash Course - Exercise Solutions__en.srt	SRT	13.43 KB

03 - Machine Learning Pathway Overview

	001 Machine Learning Pathway.mp4	MP4	14.1 MB
	001 Machine Learning Pathway__en.srt	SRT	15.79 KB

04 - NumPy

001 Introduction to NumPy.mp4	MP4	3.37 MB
001 Introduction to NumPy__en.srt	SRT	3.01 KB
002 NumPy Arrays.mp4	MP4	99.45 MB
002 NumPy Arrays__en.srt	SRT	31.91 KB
003 NumPy Indexing and Selection.mp4	MP4	39.63 MB
003 NumPy Indexing and Selection__en.srt	SRT	16.22 KB
004 NumPy Operations.mp4	MP4	36.06 MB
004 NumPy Operations__en.srt	SRT	12.05 KB
005 NumPy Exercises.mp4	MP4	9.64 MB
005 NumPy Exercises__en.srt	SRT	2.07 KB
006 Numpy Exercises - Solutions.mp4	MP4	34.88 MB
006 Numpy Exercises - Solutions__en.srt	SRT	10.87 KB

05 - Pandas

001 Introduction to Pandas.mp4	MP4	6.7 MB
001 Introduction to Pandas__en.srt	SRT	7.24 KB
002 Series - Part One.mp4	MP4	28.62 MB
002 Series - Part One__en.srt	SRT	13.39 KB
003 Series - Part Two.mp4	MP4	26.12 MB
003 Series - Part Two__en.srt	SRT	15.38 KB
004 DataFrames - Part One - Creating a DataFrame.mp4	MP4	97.48 MB
004 DataFrames - Part One - Creating a DataFrame__en.srt	SRT	29 KB
005 DataFrames - Part Two - Basic Properties.mp4	MP4	40.28 MB
005 DataFrames - Part Two - Basic Properties__en.srt	SRT	13.28 KB
006 DataFrames - Part Three - Working with Columns.mp4	MP4	84.08 MB
006 DataFrames - Part Three - Working with Columns__en.srt	SRT	20.61 KB
007 DataFrames - Part Four - Working with Rows.mp4	MP4	72.59 MB
007 DataFrames - Part Four - Working with Rows__en.srt	SRT	21.09 KB
008 Pandas - Conditional Filtering.mp4	MP4	69.21 MB
008 Pandas - Conditional Filtering__en.srt	SRT	27.14 KB
009 Pandas - Useful Methods - Apply on Single Column.mp4	MP4	53.72 MB
009 Pandas - Useful Methods - Apply on Single Column__en.srt	SRT	20.23 KB
010 Pandas - Useful Methods - Apply on Multiple Columns.mp4	MP4	85.32 MB
010 Pandas - Useful Methods - Apply on Multiple Columns__en.srt	SRT	25.93 KB
011 Pandas - Useful Methods - Statistical Information and Sorting.mp4	MP4	74.37 MB
011 Pandas - Useful Methods - Statistical Information and Sorting__en.srt	SRT	23.4 KB
012 Missing Data - Overview.mp4	MP4	27.24 MB
012 Missing Data - Overview__en.srt	SRT	18.36 KB
013 Missing Data - Pandas Operations.mp4	MP4	73.6 MB
013 Missing Data - Pandas Operations__en.srt	SRT	27.41 KB
014 GroupBy Operations - Part One.mp4	MP4	86.96 MB
014 GroupBy Operations - Part One__en.srt	SRT	21.41 KB
015 GroupBy Operations - Part Two - MultiIndex.mp4	MP4	92.86 MB
015 GroupBy Operations - Part Two - MultiIndex__en.srt	SRT	20.86 KB
016 Combining DataFrames - Concatenation.mp4	MP4	36.84 MB
016 Combining DataFrames - Concatenation__en.srt	SRT	15.02 KB
017 Combining DataFrames - Inner Merge.mp4	MP4	40.27 MB
017 Combining DataFrames - Inner Merge__en.srt	SRT	18.52 KB
018 Combining DataFrames - Left and Right Merge.mp4	MP4	16.4 MB
018 Combining DataFrames - Left and Right Merge__en.srt	SRT	9.1 KB
019 Combining DataFrames - Outer Merge.mp4	MP4	22.17 MB
019 Combining DataFrames - Outer Merge__en.srt	SRT	14.57 KB
020 Pandas - Text Methods for String Data.mp4	MP4	45.12 MB
020 Pandas - Text Methods for String Data__en.srt	SRT	23.95 KB
021 Pandas - Time Methods for Date and Time Data.mp4	MP4	80.19 MB
021 Pandas - Time Methods for Date and Time Data__en.srt	SRT	31.72 KB
022 Pandas Input and Output - CSV Files.mp4	MP4	37.15 MB
022 Pandas Input and Output - CSV Files__en.srt	SRT	16.6 KB
023 Pandas Input and Output - HTML Tables.mp4	MP4	102.34 MB
023 Pandas Input and Output - HTML Tables__en.srt	SRT	22.36 KB
024 Pandas Input and Output - Excel Files.mp4	MP4	25.87 MB
024 Pandas Input and Output - Excel Files__en.srt	SRT	10.88 KB
025 Pandas Input and Output - SQL Databases.mp4	MP4	95.98 MB
025 Pandas Input and Output - SQL Databases__en.srt	SRT	29.43 KB
026 Pandas Pivot Tables.mp4	MP4	129.09 MB
026 Pandas Pivot Tables__en.srt	SRT	32.18 KB
027 Pandas Project Exercise Overview.mp4	MP4	39.43 MB
027 Pandas Project Exercise Overview__en.srt	SRT	9.59 KB
028 Pandas Project Exercise Solutions.mp4	MP4	172.55 MB
028 Pandas Project Exercise Solutions__en.srt	SRT	38.77 KB

06 - Matplotlib

001 Introduction to Matplotlib.mp4	MP4	6.55 MB
001 Introduction to Matplotlib__en.srt	SRT	6.72 KB
002 Matplotlib Basics.mp4	MP4	31.07 MB
002 Matplotlib Basics__en.srt	SRT	19.64 KB
003 Matplotlib - Understanding the Figure Object.mp4	MP4	11.7 MB
003 Matplotlib - Understanding the Figure Object__en.srt	SRT	11.55 KB
004 Matplotlib - Implementing Figures and Axes.mp4	MP4	34.86 MB
004 Matplotlib - Implementing Figures and Axes__en.srt	SRT	20.97 KB
005 Matplotlib - Figure Parameters.mp4	MP4	13.06 MB
005 Matplotlib - Figure Parameters__en.srt	SRT	7.65 KB
006 Matplotlib - Subplots Functionality.mp4	MP4	96.57 MB
006 Matplotlib - Subplots Functionality__en.srt	SRT	28.63 KB
007 Matplotlib Styling - Legends.mp4	MP4	16.19 MB
007 Matplotlib Styling - Legends__en.srt	SRT	10.36 KB
008 Matplotlib Styling - Colors and Styles.mp4	MP4	44.27 MB
008 Matplotlib Styling - Colors and Styles__en.srt	SRT	21.04 KB
009 Advanced Matplotlib Commands (Optional).mp4	MP4	25.19 MB
009 Advanced Matplotlib Commands (Optional)__en.srt	SRT	6.49 KB
010 Matplotlib Exercise Questions Overview.mp4	MP4	48.99 MB
010 Matplotlib Exercise Questions Overview__en.srt	SRT	9.33 KB
011 Matplotlib Exercise Questions - Solutions.mp4	MP4	105.86 MB
011 Matplotlib Exercise Questions - Solutions__en.srt	SRT	24.53 KB

07 - Seaborn Data Visualizations

001 Introduction to Seaborn.mp4	MP4	5.74 MB
001 Introduction to Seaborn__en.srt	SRT	6.51 KB
002 Scatterplots with Seaborn.mp4	MP4	111.3 MB
002 Scatterplots with Seaborn__en.srt	SRT	29.72 KB
003 Distribution Plots - Part One - Understanding Plot Types.mp4	MP4	15.03 MB
003 Distribution Plots - Part One - Understanding Plot Types__en.srt	SRT	15 KB
004 Distribution Plots - Part Two - Coding with Seaborn.mp4	MP4	59.21 MB
004 Distribution Plots - Part Two - Coding with Seaborn__en.srt	SRT	24.79 KB
005 Categorical Plots - Statistics within Categories - Understanding Plot Types.mp4	MP4	15.98 MB
005 Categorical Plots - Statistics within Categories - Understanding Plot Types__en.srt	SRT	8.8 KB
006 Categorical Plots - Statistics within Categories - Coding with Seaborn.mp4	MP4	51.65 MB
006 Categorical Plots - Statistics within Categories - Coding with Seaborn__en.srt	SRT	14.61 KB
007 Categorical Plots - Distributions within Categories - Understanding Plot Types.mp4	MP4	44.96 MB
007 Categorical Plots - Distributions within Categories - Understanding Plot Types__en.srt	SRT	20.1 KB
008 Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4	MP4	84.57 MB
008 Categorical Plots - Distributions within Categories - Coding with Seaborn__en.srt	SRT	28.26 KB
009 Seaborn - Comparison Plots - Understanding the Plot Types.mp4	MP4	10.57 MB
009 Seaborn - Comparison Plots - Understanding the Plot Types__en.srt	SRT	8.74 KB
010 Seaborn - Comparison Plots - Coding with Seaborn.mp4	MP4	51.16 MB
010 Seaborn - Comparison Plots - Coding with Seaborn__en.srt	SRT	15.71 KB
011 Seaborn Grid Plots.mp4	MP4	87.01 MB
011 Seaborn Grid Plots__en.srt	SRT	20.5 KB
012 Seaborn - Matrix Plots.mp4	MP4	61.47 MB
012 Seaborn - Matrix Plots__en.srt	SRT	21.09 KB
013 Seaborn Plot Exercises Overview.mp4	MP4	47.88 MB
013 Seaborn Plot Exercises Overview__en.srt	SRT	11.26 KB
014 Seaborn Plot Exercises Solutions.mp4	MP4	105.72 MB
014 Seaborn Plot Exercises Solutions__en.srt	SRT	22.39 KB

08 - Data Analysis and Visualization Capstone Project Exercise

001 Capstone Project Overview.mp4	MP4	31.11 MB
001 Capstone Project Overview__en.srt	SRT	20.6 KB
002 Capstone Project Solutions - Part One.mp4	MP4	110.61 MB
002 Capstone Project Solutions - Part One__en.srt	SRT	26.84 KB
003 Capstone Project Solutions - Part Two.mp4	MP4	106.18 MB
003 Capstone Project Solutions - Part Two__en.srt	SRT	23.48 KB
004 Capstone Project Solutions - Part Three.mp4	MP4	137.39 MB
004 Capstone Project Solutions - Part Three__en.srt	SRT	30.88 KB
GetFreeCourses.Co.url	URL	116 B
How you can help GetFreeCourses.Co.txt	TXT	182 B

09 - Machine Learning Concepts Overview

001 Introduction to Machine Learning Overview Section.mp4	MP4	13.17 MB
001 Introduction to Machine Learning Overview Section__en.srt	SRT	8.58 KB
002 Why Machine Learning_.mp4	MP4	21.04 MB
002 Why Machine Learning___en.srt	SRT	14.66 KB
003 Types of Machine Learning Algorithms.mp4	MP4	18.08 MB
003 Types of Machine Learning Algorithms__en.srt	SRT	11.63 KB
004 Supervised Machine Learning Process.mp4	MP4	33.53 MB
004 Supervised Machine Learning Process__en.srt	SRT	19.77 KB
005 Companion Book - Introduction to Statistical Learning.mp4	MP4	5.11 MB
005 Companion Book - Introduction to Statistical Learning__en.srt	SRT	4.66 KB

10 - Linear Regression

001 Introduction to Linear Regression Section.mp4	MP4	2.58 MB
001 Introduction to Linear Regression Section__en.srt	SRT	2.68 KB
002 Linear Regression - Algorithm History.mp4	MP4	54.82 MB
002 Linear Regression - Algorithm History__en.srt	SRT	13.09 KB
003 Linear Regression - Understanding Ordinary Least Squares.mp4	MP4	86.37 MB
003 Linear Regression - Understanding Ordinary Least Squares__en.srt	SRT	22.53 KB
004 Linear Regression - Cost Functions.mp4	MP4	16.63 MB
004 Linear Regression - Cost Functions__en.srt	SRT	11.46 KB
005 Linear Regression - Gradient Descent.mp4	MP4	29.21 MB
005 Linear Regression - Gradient Descent__en.srt	SRT	16.73 KB
006 Python coding Simple Linear Regression.mp4	MP4	70.14 MB
006 Python coding Simple Linear Regression__en.srt	SRT	28.14 KB
007 Overview of Scikit-Learn and Python.mp4	MP4	31.44 MB
007 Overview of Scikit-Learn and Python__en.srt	SRT	10.14 KB
007 Overview of Scikit-Learn and Python_en.vtt	VTT	10.96 KB
008 Linear Regression - Scikit-Learn Train Test Split.mp4	MP4	61.42 MB
008 Linear Regression - Scikit-Learn Train Test Split__en.srt	SRT	23.78 KB
009 Linear Regression - Scikit-Learn Performance Evaluation - Regression.mp4	MP4	53.4 MB
009 Linear Regression - Scikit-Learn Performance Evaluation - Regression__en.srt	SRT	23 KB
010 Linear Regression - Residual Plots.mp4	MP4	44.02 MB
010 Linear Regression - Residual Plots__en.srt	SRT	20.22 KB
011 Linear Regression - Model Deployment and Coefficient Interpretation.mp4	MP4	81.14 MB
011 Linear Regression - Model Deployment and Coefficient Interpretation__en.srt	SRT	25.62 KB
012 Polynomial Regression - Theory and Motivation.mp4	MP4	22.25 MB
012 Polynomial Regression - Theory and Motivation__en.srt	SRT	11.21 KB
013 Polynomial Regression - Creating Polynomial Features.mp4	MP4	40.09 MB
013 Polynomial Regression - Creating Polynomial Features__en.srt	SRT	16.39 KB
014 Polynomial Regression - Training and Evaluation.mp4	MP4	36.3 MB
014 Polynomial Regression - Training and Evaluation__en.srt	SRT	14.17 KB
015 Bias Variance Trade-Off.mp4	MP4	36.18 MB
015 Bias Variance Trade-Off__en.srt	SRT	15.94 KB
016 Polynomial Regression - Choosing Degree of Polynomial.mp4	MP4	55.68 MB
016 Polynomial Regression - Choosing Degree of Polynomial__en.srt	SRT	19.88 KB
017 Polynomial Regression - Model Deployment.mp4	MP4	23.22 MB
017 Polynomial Regression - Model Deployment__en.srt	SRT	8.38 KB
018 Regularization Overview.mp4	MP4	15.52 MB
018 Regularization Overview__en.srt	SRT	10.33 KB
019 Feature Scaling.mp4	MP4	24.34 MB
019 Feature Scaling__en.srt	SRT	14.83 KB
020 Introduction to Cross Validation.mp4	MP4	32.97 MB
020 Introduction to Cross Validation__en.srt	SRT	19.81 KB
021 Regularization Data Setup.mp4	MP4	20.16 MB
021 Regularization Data Setup__en.srt	SRT	12.42 KB
022 L2 Regularization - Ridge Regression Theory.mp4	MP4	61.3 MB
022 L2 Regularization - Ridge Regression Theory__en.srt	SRT	20.72 KB
023 L2 Regularization - Ridge Regression - Python Implementation.mp4	MP4	89.37 MB
023 L2 Regularization - Ridge Regression - Python Implementation__en.srt	SRT	10.89 KB
023 L2 Regularization - Ridge Regression - Python Implementation_en.vtt	VTT	22.98 KB
024 L1 Regularization - Lasso Regression - Background and Implementation.mp4	MP4	94.65 MB
024 L1 Regularization - Lasso Regression - Background and Implementation__en.srt	SRT	5.4 KB
024 L1 Regularization - Lasso Regression - Background and Implementation_en.vtt	VTT	19.64 KB
025 L1 and L2 Regularization - Elastic Net.mp4	MP4	66.4 MB
025 L1 and L2 Regularization - Elastic Net__en.srt	SRT	16.97 KB
025 L1 and L2 Regularization - Elastic Net_en.vtt	VTT	22.62 KB
026 Linear Regression Project - Data Overview.mp4	MP4	16.94 MB
026 Linear Regression Project - Data Overview__en.srt	SRT	7.67 KB

11 - Feature Engineering and Data Preparation

001 A note from Jose on Feature Engineering and Data Preparation.html	HTML	990 B
002 Introduction to Feature Engineering and Data Preparation.mp4	MP4	36.11 MB
002 Introduction to Feature Engineering and Data Preparation__en.srt	SRT	24.1 KB
003 Dealing with Outliers.mp4	MP4	103.32 MB
003 Dealing with Outliers__en.srt	SRT	41.2 KB
004 Dealing with Missing Data _ Part One - Evaluation of Missing Data.mp4	MP4	19.05 MB
004 Dealing with Missing Data _ Part One - Evaluation of Missing Data__en.srt	SRT	16.97 KB
005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows.mp4	MP4	117.56 MB
005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows__en.srt	SRT	31.42 KB
006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns.mp4	MP4	105.22 MB
006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns__en.srt	SRT	36.75 KB
007 Dealing with Categorical Data - Encoding Options.mp4	MP4	58.87 MB
007 Dealing with Categorical Data - Encoding Options__en.srt	SRT	20.1 KB

12 - Cross Validation , Grid Search, and the Linear Regression Project

001 Section Overview and Introduction.mp4	MP4	5.61 MB
001 Section Overview and Introduction__en.srt	SRT	5.05 KB
002 Cross Validation - Test _ Train Split.mp4	MP4	46.86 MB
002 Cross Validation - Test _ Train Split__en.srt	SRT	17.43 KB
003 Cross Validation - Test _ Validation _ Train Split.mp4	MP4	59.41 MB
003 Cross Validation - Test _ Validation _ Train Split__en.srt	SRT	21.65 KB
004 Cross Validation - cross_val_score.mp4	MP4	44.46 MB
004 Cross Validation - cross_val_score__en.srt	SRT	8.14 KB
004 Cross Validation - cross_val_score_en.vtt	VTT	15.2 KB
005 Cross Validation - cross_validate.mp4	MP4	45.01 MB
005 Cross Validation - cross_validate__en.srt	SRT	11.23 KB
006 Grid Search.mp4	MP4	73.19 MB
006 Grid Search__en.srt	SRT	19.26 KB
007 Linear Regression Project Overview.mp4	MP4	23.63 MB
007 Linear Regression Project Overview__en.srt	SRT	5.82 KB
008 Linear Regression Project - Solutions.mp4	MP4	91.23 MB
008 Linear Regression Project - Solutions__en.srt	SRT	8.8 KB
008 Linear Regression Project - Solutions_en.vtt	VTT	15.87 KB

13 - Logistic Regression

001 Early Bird Note on Downloading .zip for Logistic Regression Notes.html	HTML	523 B
002 Introduction to Logistic Regression Section.mp4	MP4	13.93 MB
002 Introduction to Logistic Regression Section__en.srt	SRT	8.39 KB
003 Logistic Regression - Theory and Intuition - Part One_ The Logistic Function.mp4	MP4	17.31 MB
003 Logistic Regression - Theory and Intuition - Part One_ The Logistic Function__en.srt	SRT	8.09 KB
004 Logistic Regression - Theory and Intuition - Part Two_ Linear to Logistic.mp4	MP4	8.03 MB
004 Logistic Regression - Theory and Intuition - Part Two_ Linear to Logistic__en.srt	SRT	7.27 KB
005 Logistic Regression - Theory and Intuition - Linear to Logistic Math.mp4	MP4	36.04 MB
005 Logistic Regression - Theory and Intuition - Linear to Logistic Math__en.srt	SRT	24.81 KB
006 Logistic Regression - Theory and Intuition - Best fit with Maximum Likelihood.mp4	MP4	54.91 MB
006 Logistic Regression - Theory and Intuition - Best fit with Maximum Likelihood__en.srt	SRT	22.96 KB
007 Logistic Regression with Scikit-Learn - Part One - EDA.mp4	MP4	62.45 MB
007 Logistic Regression with Scikit-Learn - Part One - EDA__en.srt	SRT	21.9 KB
008 Logistic Regression with Scikit-Learn - Part Two - Model Training.mp4	MP4	32.57 MB
008 Logistic Regression with Scikit-Learn - Part Two - Model Training__en.srt	SRT	9.57 KB
009 Classification Metrics - Confusion Matrix and Accuracy.mp4	MP4	21.72 MB
009 Classification Metrics - Confusion Matrix and Accuracy__en.srt	SRT	13.93 KB
010 Classification Metrics - Precison, Recall, F1-Score.mp4	MP4	33.14 MB
010 Classification Metrics - Precison, Recall, F1-Score__en.srt	SRT	8.34 KB
011 Classification Metrics - ROC Curves.mp4	MP4	16.07 MB
011 Classification Metrics - ROC Curves__en.srt	SRT	11.07 KB
012 Logistic Regression with Scikit-Learn - Part Three - Performance Evaluation.mp4	MP4	57.03 MB
012 Logistic Regression with Scikit-Learn - Part Three - Performance Evaluation__en.srt	SRT	23.43 KB
013 Multi-Class Classification with Logistic Regression - Part One - Data and EDA.mp4	MP4	37.38 MB
013 Multi-Class Classification with Logistic Regression - Part One - Data and EDA__en.srt	SRT	12.01 KB
014 Multi-Class Classification with Logistic Regression - Part Two - Model.mp4	MP4	105.09 MB
014 Multi-Class Classification with Logistic Regression - Part Two - Model__en.srt	SRT	23.82 KB
015 Logistic Regression Exercise Project Overview.mp4	MP4	24.29 MB
015 Logistic Regression Exercise Project Overview__en.srt	SRT	6.49 KB
016 Logistic Regression Project Exercise - Solutions.mp4	MP4	161.29 MB
016 Logistic Regression Project Exercise - Solutions__en.srt	SRT	14.33 KB
016 Logistic Regression Project Exercise - Solutions_en.vtt	VTT	30.89 KB
29304858-11-Logistic-Regression-Models.zip	ZIP	2.02 MB

14 - KNN - K Nearest Neighbors

001 Introduction to KNN Section.mp4	MP4	3.65 MB
001 Introduction to KNN Section__en.srt	SRT	3.63 KB
002 KNN Classification - Theory and Intuition.mp4	MP4	23.55 MB
002 KNN Classification - Theory and Intuition__en.srt	SRT	16.93 KB
003 KNN Coding with Python - Part One.mp4	MP4	61.55 MB
003 KNN Coding with Python - Part One__en.srt	SRT	10.99 KB
003 KNN Coding with Python - Part One_en.vtt	VTT	19.38 KB
004 KNN Coding with Python - Part Two - Choosing K.mp4	MP4	102.86 MB
004 KNN Coding with Python - Part Two - Choosing K__en.srt	SRT	3.94 KB
004 KNN Coding with Python - Part Two - Choosing K_en.vtt	VTT	30.67 KB
005 KNN Classification Project Exercise Overview.mp4	MP4	21.12 MB
005 KNN Classification Project Exercise Overview__en.srt	SRT	5.23 KB
006 KNN Classification Project Exercise Solutions.mp4	MP4	105.03 MB
006 KNN Classification Project Exercise Solutions__en.srt	SRT	8.62 KB
006 KNN Classification Project Exercise Solutions_en.vtt	VTT	18.55 KB
29434428-12-K-Nearest-Neighbors.zip	ZIP	1.35 MB

15 - Support Vector Machines

001 Introduction to Support Vector Machines.mp4	MP4	2.79 MB
001 Introduction to Support Vector Machines__en.srt	SRT	2.3 KB
002 History of Support Vector Machines.mp4	MP4	15.54 MB
002 History of Support Vector Machines__en.srt	SRT	6.53 KB
003 SVM - Theory and Intuition - Hyperplanes and Margins.mp4	MP4	47.74 MB
003 SVM - Theory and Intuition - Hyperplanes and Margins__en.srt	SRT	18.58 KB
004 SVM - Theory and Intuition - Kernel Intuition.mp4	MP4	9.83 MB
004 SVM - Theory and Intuition - Kernel Intuition__en.srt	SRT	7.11 KB
005 SVM - Theory and Intuition - Kernel Trick and Mathematics.mp4	MP4	52.62 MB
005 SVM - Theory and Intuition - Kernel Trick and Mathematics__en.srt	SRT	29.3 KB
006 SVM with Scikit-Learn and Python - Classification Part One.mp4	MP4	46.28 MB
006 SVM with Scikit-Learn and Python - Classification Part One__en.srt	SRT	16.39 KB
007 SVM with Scikit-Learn and Python - Classification Part Two.mp4	MP4	90.63 MB
007 SVM with Scikit-Learn and Python - Classification Part Two__en.srt	SRT	20.73 KB
007 SVM with Scikit-Learn and Python - Classification Part Two_en.vtt	VTT	20.98 KB
008 SVM with Scikit-Learn and Python - Regression Tasks.mp4	MP4	76.27 MB
008 SVM with Scikit-Learn and Python - Regression Tasks__en.srt	SRT	25.67 KB
008 SVM with Scikit-Learn and Python - Regression Tasks_en.vtt	VTT	26.15 KB
009 Support Vector Machine Project Overview.mp4	MP4	34.84 MB
009 Support Vector Machine Project Overview__en.srt	SRT	6.87 KB
010 Support Vector Machine Project Solutions.mp4	MP4	93.36 MB
010 Support Vector Machine Project Solutions__en.srt	SRT	12.75 KB
010 Support Vector Machine Project Solutions_en.vtt	VTT	22.5 KB
29902052-13-Support-Vector-Machines.zip	ZIP	1.51 MB

16 - Tree Based Methods_ Decision Tree Learning

001 Introduction to Tree Based Methods.mp4	MP4	2.33 MB
001 Introduction to Tree Based Methods__en.srt	SRT	2.21 KB
002 Decision Tree - History.mp4	MP4	35.58 MB
002 Decision Tree - History__en.srt	SRT	13.15 KB
003 Decision Tree - Terminology.mp4	MP4	7.29 MB
003 Decision Tree - Terminology__en.srt	SRT	6.43 KB
004 Decision Tree - Understanding Gini Impurity.mp4	MP4	19.45 MB
004 Decision Tree - Understanding Gini Impurity__en.srt	SRT	11.11 KB
005 Constructing Decision Trees with Gini Impurity - Part One.mp4	MP4	17.69 MB
005 Constructing Decision Trees with Gini Impurity - Part One__en.srt	SRT	11.48 KB
006 Constructing Decision Trees with Gini Impurity - Part Two.mp4	MP4	52.35 MB
006 Constructing Decision Trees with Gini Impurity - Part Two__en.srt	SRT	16.42 KB
007 Coding Decision Trees - Part One - The Data.mp4	MP4	98.72 MB
007 Coding Decision Trees - Part One - The Data__en.srt	SRT	29.28 KB
008 Coding Decision Trees - Part Two -Creating the Model.mp4	MP4	115.8 MB
008 Coding Decision Trees - Part Two -Creating the Model__en.srt	SRT	32.7 KB
30205020-14-Decision-Trees.zip	ZIP	1.79 MB

17 - Random Forests

001 Introduction to Random Forests Section.mp4	MP4	2.87 MB
001 Introduction to Random Forests Section__en.srt	SRT	2.81 KB
002 Random Forests - History and Motivation.mp4	MP4	24 MB
002 Random Forests - History and Motivation__en.srt	SRT	17.22 KB
003 Random Forests - Key Hyperparameters.mp4	MP4	8.27 MB
003 Random Forests - Key Hyperparameters__en.srt	SRT	4.45 KB
004 Random Forests - Number of Estimators and Features in Subsets.mp4	MP4	27.31 MB
004 Random Forests - Number of Estimators and Features in Subsets__en.srt	SRT	16.17 KB
005 Random Forests - Bootstrapping and Out-of-Bag Error.mp4	MP4	32.72 MB
005 Random Forests - Bootstrapping and Out-of-Bag Error__en.srt	SRT	17.97 KB
006 Coding Classification with Random Forest Classifier - Part One.mp4	MP4	52.1 MB
006 Coding Classification with Random Forest Classifier - Part One__en.srt	SRT	9.92 KB
006 Coding Classification with Random Forest Classifier - Part One_en.vtt	VTT	15.78 KB
007 Coding Classification with Random Forest Classifier - Part Two.mp4	MP4	130.37 MB
007 Coding Classification with Random Forest Classifier - Part Two__en.srt	SRT	20.04 KB
007 Coding Classification with Random Forest Classifier - Part Two_en.vtt	VTT	27.9 KB
008 Coding Regression with Random Forest Regressor - Part One - Data.mp4	MP4	13.68 MB
008 Coding Regression with Random Forest Regressor - Part One - Data__en.srt	SRT	6.86 KB
009 Coding Regression with Random Forest Regressor - Part Two - Basic Models.mp4	MP4	85.01 MB
009 Coding Regression with Random Forest Regressor - Part Two - Basic Models__en.srt	SRT	20.42 KB
010 Coding Regression with Random Forest Regressor - Part Three - Polynomials.mp4	MP4	45.54 MB
010 Coding Regression with Random Forest Regressor - Part Three - Polynomials__en.srt	SRT	15.34 KB
011 Coding Regression with Random Forest Regressor - Part Four - Advanced Models.mp4	MP4	50.67 MB
011 Coding Regression with Random Forest Regressor - Part Four - Advanced Models__en.srt	SRT	15.45 KB
30930956-15-Random-Forests.zip	ZIP	3.93 MB
30930966-data-banknote-authentication.csv	CSV	45.38 KB

18 - Boosting Methods

001 Introduction to Boosting Section.mp4	MP4	2.99 MB
001 Introduction to Boosting Section__en.srt	SRT	2.67 KB
002 Boosting Methods - Motivation and History.mp4	MP4	21.98 MB
002 Boosting Methods - Motivation and History__en.srt	SRT	8.96 KB
003 AdaBoost Theory and Intuition.mp4	MP4	41.53 MB
003 AdaBoost Theory and Intuition__en.srt	SRT	28.95 KB
004 AdaBoost Coding Part One - The Data.mp4	MP4	42.25 MB
004 AdaBoost Coding Part One - The Data__en.srt	SRT	16.66 KB
005 AdaBoost Coding Part Two - The Model.mp4	MP4	63.11 MB
005 AdaBoost Coding Part Two - The Model__en.srt	SRT	26.61 KB
006 Gradient Boosting Theory.mp4	MP4	22.96 MB
006 Gradient Boosting Theory__en.srt	SRT	16.11 KB
007 Gradient Boosting Coding Walkthrough.mp4	MP4	57.91 MB
007 Gradient Boosting Coding Walkthrough__en.srt	SRT	8.9 KB
007 Gradient Boosting Coding Walkthrough_en.vtt	VTT	17.5 KB
31286608-16-Boosted-Trees.zip	ZIP	917.98 KB
31286610-mushrooms.csv	CSV	365.24 KB

19 - Supervised Learning Capstone Project

001 Introduction to Supervised Learning Capstone Project.mp4	MP4	29.84 MB
001 Introduction to Supervised Learning Capstone Project__en.srt	SRT	25.69 KB
002 Solution Walkthrough - Supervised Learning Project - Data and EDA.mp4	MP4	106.1 MB
002 Solution Walkthrough - Supervised Learning Project - Data and EDA__en.srt	SRT	29.67 KB
003 Solution Walkthrough - Supervised Learning Project - Cohort Analysis.mp4	MP4	130.14 MB
003 Solution Walkthrough - Supervised Learning Project - Cohort Analysis__en.srt	SRT	38.72 KB
004 Solution Walkthrough - Supervised Learning Project - Tree Models.mp4	MP4	114.21 MB
004 Solution Walkthrough - Supervised Learning Project - Tree Models__en.srt	SRT	4.2 KB
004 Solution Walkthrough - Supervised Learning Project - Tree Models_en.vtt	VTT	29.4 KB
31389398-17-Supervised-Learning-Capstone-Project.zip	ZIP	7.04 MB
31389400-Telco-Customer-Churn.csv	CSV	953.66 KB

20 - Naive Bayes Classification and Natural Language Processing

001 Introduction to NLP and Naive Bayes Section.mp4	MP4	4.22 MB
001 Introduction to NLP and Naive Bayes Section__en.srt	SRT	3.69 KB
002 Naive Bayes Algorithm - Part One - Bayes Theorem.mp4	MP4	22.04 MB
002 Naive Bayes Algorithm - Part One - Bayes Theorem__en.srt	SRT	11.85 KB
003 Naive Bayes Algorithm - Part Two - Model Algorithm.mp4	MP4	48.61 MB
003 Naive Bayes Algorithm - Part Two - Model Algorithm__en.srt	SRT	26.35 KB
004 Feature Extraction from Text - Part One - Theory and Intuition.mp4	MP4	29.4 MB
006 Feature Extraction from Text - Coding with Scikit-Learn.mp4	MP4	50.39 MB
006 Feature Extraction from Text - Coding with Scikit-Learn__en.srt	SRT	16.67 KB
007 Natural Language Processing - Classification of Text - Part One.mp4	MP4	28.26 MB
008 Natural Language Processing - Classification of Text - Part Two.mp4	MP4	34.77 MB
009 Text Classification Project Exercise Overview.mp4	MP4	30.54 MB
009 Text Classification Project Exercise Overview__en.srt	SRT	7.86 KB
010 Text Classification Project Exercise Solutions.mp4	MP4	100.59 MB
010 Text Classification Project Exercise Solutions__en.srt	SRT	19.4 KB
010 Text Classification Project Exercise Solutions_en.vtt	VTT	21.33 KB
31640094-18-Naive-Bayes-and-NLP.zip	ZIP	192.48 KB
31640102-airline-tweets.csv	CSV	3.26 MB
31640132-moviereviews.csv	CSV	7.22 MB

21 - Unsupervised Learning

	001 Unsupervised Learning Overview.mp4	MP4	13.75 MB
	001 Unsupervised Learning Overview__en.srt	SRT	12.86 KB

22 - K-Means Clustering

001 Introduction to K-Means Clustering Section.mp4	MP4	3.55 MB
001 Introduction to K-Means Clustering Section__en.srt	SRT	3.5 KB
002 Clustering General Overview.mp4	MP4	24.86 MB
002 Clustering General Overview__en.srt	SRT	16.5 KB
003 K-Means Clustering Theory.mp4	MP4	52.49 MB
003 K-Means Clustering Theory__en.srt	SRT	17.25 KB
004 K-Means Clustering - Coding Part One.mp4	MP4	97.9 MB
004 K-Means Clustering - Coding Part One__en.srt	SRT	30.36 KB
005 K-Means Clustering Coding Part Two.mp4	MP4	80.85 MB
005 K-Means Clustering Coding Part Two__en.srt	SRT	26.55 KB
006 K-Means Clustering Coding Part Three.mp4	MP4	59.77 MB
006 K-Means Clustering Coding Part Three__en.srt	SRT	21.38 KB
007 K-Means Color Quantization - Part One.mp4	MP4	80.57 MB
007 K-Means Color Quantization - Part One__en.srt	SRT	20.38 KB
008 K-Means Color Quantization - Part Two.mp4	MP4	65.03 MB
008 K-Means Color Quantization - Part Two__en.srt	SRT	21.27 KB
009 K-Means Clustering Exercise Overview.mp4	MP4	59.48 MB
009 K-Means Clustering Exercise Overview__en.srt	SRT	13.43 KB
010 K-Means Clustering Exercise Solution - Part One.mp4	MP4	79.92 MB
010 K-Means Clustering Exercise Solution - Part One__en.srt	SRT	21.1 KB
011 K-Means Clustering Exercise Solution - Part Two.mp4	MP4	108.19 MB
011 K-Means Clustering Exercise Solution - Part Two__en.srt	SRT	23.53 KB
012 K-Means Clustering Exercise Solution - Part Three.mp4	MP4	62.5 MB
012 K-Means Clustering Exercise Solution - Part Three__en.srt	SRT	12.15 KB
32407448-20-Kmeans-Clustering.zip	ZIP	5.83 MB
32407452-bank-full.csv	CSV	4.95 MB
32407456-CIA-Country-Facts.csv	CSV	32.7 KB
32407460-country-iso-codes.csv	CSV	7.94 KB
33555798-palm-trees.jpg	JPG	172.74 KB
GetFreeCourses.Co.url	URL	116 B
How you can help GetFreeCourses.Co.txt	TXT	182 B

23 - Hierarchical Clustering

001 Introduction to Hierarchical Clustering.mp4	MP4	1.67 MB
001 Introduction to Hierarchical Clustering__en.srt	SRT	1.17 KB
002 Hierarchical Clustering - Theory and Intuition.mp4	MP4	52.07 MB
002 Hierarchical Clustering - Theory and Intuition__en.srt	SRT	17.29 KB
003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4	MP4	114.98 MB
003 Hierarchical Clustering - Coding Part One - Data and Visualization__en.srt	SRT	25.38 KB
004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4	MP4	209.23 MB
004 Hierarchical Clustering - Coding Part Two - Scikit-Learn__en.srt	SRT	42.26 KB
33028500-21-Hierarchical-Clustering.zip	ZIP	621.63 KB
33028506-cluster-mpg.csv	CSV	20.83 KB

24 - DBSCAN - Density-based spatial clustering of applications with noise

001 Introduction to DBSCAN Section.mp4	MP4	1.8 MB
001 Introduction to DBSCAN Section__en.srt	SRT	1.34 KB
002 DBSCAN - Theory and Intuition.mp4	MP4	109.09 MB
002 DBSCAN - Theory and Intuition__en.srt	SRT	26.51 KB
003 DBSCAN versus K-Means Clustering.mp4	MP4	66.64 MB
003 DBSCAN versus K-Means Clustering__en.srt	SRT	17.37 KB
004 DBSCAN - Hyperparameter Theory.mp4	MP4	13.86 MB
004 DBSCAN - Hyperparameter Theory__en.srt	SRT	10.7 KB
005 DBSCAN - Hyperparameter Tuning Methods.mp4	MP4	105.08 MB
005 DBSCAN - Hyperparameter Tuning Methods__en.srt	SRT	32.66 KB
006 DBSCAN - Outlier Project Exercise Overview.mp4	MP4	50.27 MB
006 DBSCAN - Outlier Project Exercise Overview__en.srt	SRT	9.96 KB
007 DBSCAN - Outlier Project Exercise Solutions.mp4	MP4	127.93 MB
007 DBSCAN - Outlier Project Exercise Solutions__en.srt	SRT	38.12 KB
33643014-22-DBSCAN.zip	ZIP	3.51 MB
33643060-cluster-circles.csv	CSV	59.88 KB
33643066-wholesome-customers-data.csv	CSV	14.67 KB
33643070-cluster-two-blobs-outliers.csv	CSV	38.29 KB
33643072-cluster-two-blobs.csv	CSV	38.26 KB
33643080-cluster-blobs.csv	CSV	55.86 KB
33643082-cluster-moons.csv	CSV	58.7 KB
external-assets-links.txt	TXT	103 B

25 - PCA - Principal Component Analysis and Manifold Learning

001 Introduction to Principal Component Analysis.mp4	MP4	5.08 MB
001 Introduction to Principal Component Analysis__en.srt	SRT	3.97 KB
002 PCA Theory and Intuition - Part One.mp4	MP4	29.72 MB
002 PCA Theory and Intuition - Part One__en.srt	SRT	15.6 KB
003 PCA Theory and Intuition - Part Two.mp4	MP4	19.04 MB
003 PCA Theory and Intuition - Part Two__en.srt	SRT	16.36 KB
004 PCA - Manual Implementation in Python.mp4	MP4	95.04 MB
004 PCA - Manual Implementation in Python__en.srt	SRT	26.27 KB
005 PCA - SciKit-Learn.mp4	MP4	74.09 MB
005 PCA - SciKit-Learn__en.srt	SRT	17.33 KB
006 PCA - Project Exercise Overview.mp4	MP4	52.77 MB
006 PCA - Project Exercise Overview__en.srt	SRT	11.87 KB
007 PCA - Project Exercise Solution.mp4	MP4	119.45 MB
007 PCA - Project Exercise Solution__en.srt	SRT	25.72 KB
33912190-digits.csv	CSV	485.53 KB
33912194-cancer-tumor-data-features.csv	CSV	117.98 KB
33912220-23-PCA-Principal-Component-Analysis.zip	ZIP	3.94 MB

26 - Model Deployment

001 Model Deployment Section Overview.mp4	MP4	4.16 MB
001 Model Deployment Section Overview__en.srt	SRT	3.49 KB
002 Model Deployment Considerations.mp4	MP4	18.31 MB
002 Model Deployment Considerations__en.srt	SRT	10.57 KB
003 Model Persistence.mp4	MP4	109.76 MB
003 Model Persistence__en.srt	SRT	3.07 KB
003 Model Persistence_en.vtt	VTT	28.11 KB
004 Model Deployment as an API - General Overview.mp4	MP4	17.48 MB
004 Model Deployment as an API - General Overview__en.srt	SRT	11.61 KB
005 Note on Upcoming Video.html	HTML	249 B
006 Model API - Creating the Script.mp4	MP4	67.27 MB
006 Model API - Creating the Script__en.srt	SRT	26.06 KB
007 Testing the API.mp4	MP4	33.15 MB
007 Testing the API__en.srt	SRT	12.17 KB

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How you can help GetFreeCourses.Co.txt

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