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2022 Python for Machine Learning & Data Science Masterclass
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2022 Python for Machine Learning & Data Science Masterclass

Learn about Data Science and Machine Learning with Python! Including Numpy, Pandas, Matplotlib, Scikit-Learn and more!

Udemy Link - https://www.udemy.com/course/python-for-machine-learning-data-science-masterclass/

Please seed as much as you can!

01 - Introduction to Course/001 Welcome to the Course_.html1.64 KiB
01 - Introduction to Course/002 COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP_.mp47.22 MiB
01 - Introduction to Course/002 COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP___en.srt7.16 KiB
01 - Introduction to Course/003 Anaconda Python and Jupyter Install and Setup.mp484.53 MiB
01 - Introduction to Course/003 Anaconda Python and Jupyter Install and Setup__en.srt21.55 KiB
01 - Introduction to Course/004 Note on Environment Setup - Please read me_.html857 B
01 - Introduction to Course/005 Environment Setup.mp435.71 MiB
01 - Introduction to Course/005 Environment Setup__en.srt14.49 KiB
01 - Introduction to Course/28813464-requirements.txt221 B
01 - Introduction to Course/33985574-UNZIP-FOR-NOTEBOOKS-FINAL.zip67.11 MiB
01 - Introduction to Course/33985614-UNZIP-FOR-NOTEBOOKS-FINAL.zip67.11 MiB
01 - Introduction to Course/external-assets-links.txt132 B
02 - OPTIONAL_ Python Crash Course/001 OPTIONAL_ Python Crash Course.html472 B
02 - OPTIONAL_ Python Crash Course/002 Python Crash Course - Part One.mp429.74 MiB
02 - OPTIONAL_ Python Crash Course/002 Python Crash Course - Part One__en.srt24.63 KiB
02 - OPTIONAL_ Python Crash Course/003 Python Crash Course - Part Two.mp457.63 MiB
02 - OPTIONAL_ Python Crash Course/003 Python Crash Course - Part Two__en.srt18.03 KiB
02 - OPTIONAL_ Python Crash Course/004 Python Crash Course - Part Three.mp432.01 MiB
02 - OPTIONAL_ Python Crash Course/004 Python Crash Course - Part Three__en.srt16.58 KiB
02 - OPTIONAL_ Python Crash Course/005 Python Crash Course - Exercise Questions.mp43.41 MiB
02 - OPTIONAL_ Python Crash Course/005 Python Crash Course - Exercise Questions__en.srt2.54 KiB
02 - OPTIONAL_ Python Crash Course/006 Python Crash Course - Exercise Solutions.mp448.7 MiB
02 - OPTIONAL_ Python Crash Course/006 Python Crash Course - Exercise Solutions__en.srt13.43 KiB
03 - Machine Learning Pathway Overview/001 Machine Learning Pathway.mp414.1 MiB
03 - Machine Learning Pathway Overview/001 Machine Learning Pathway__en.srt15.79 KiB
04 - NumPy/001 Introduction to NumPy.mp43.37 MiB
04 - NumPy/001 Introduction to NumPy__en.srt3.01 KiB
04 - NumPy/002 NumPy Arrays.mp499.45 MiB
04 - NumPy/002 NumPy Arrays__en.srt31.91 KiB
04 - NumPy/003 NumPy Indexing and Selection.mp439.63 MiB
04 - NumPy/003 NumPy Indexing and Selection__en.srt16.22 KiB
04 - NumPy/004 NumPy Operations.mp436.06 MiB
04 - NumPy/004 NumPy Operations__en.srt12.05 KiB
04 - NumPy/005 NumPy Exercises.mp49.64 MiB
04 - NumPy/005 NumPy Exercises__en.srt2.07 KiB
04 - NumPy/006 Numpy Exercises - Solutions.mp434.88 MiB
04 - NumPy/006 Numpy Exercises - Solutions__en.srt10.87 KiB
05 - Pandas/001 Introduction to Pandas.mp46.7 MiB
05 - Pandas/001 Introduction to Pandas__en.srt7.24 KiB
05 - Pandas/002 Series - Part One.mp428.62 MiB
05 - Pandas/002 Series - Part One__en.srt13.39 KiB
05 - Pandas/003 Series - Part Two.mp426.12 MiB
05 - Pandas/003 Series - Part Two__en.srt15.38 KiB
05 - Pandas/004 DataFrames - Part One - Creating a DataFrame.mp497.48 MiB
05 - Pandas/004 DataFrames - Part One - Creating a DataFrame__en.srt29 KiB
05 - Pandas/005 DataFrames - Part Two - Basic Properties.mp440.28 MiB
05 - Pandas/005 DataFrames - Part Two - Basic Properties__en.srt13.28 KiB
05 - Pandas/006 DataFrames - Part Three - Working with Columns.mp484.08 MiB
05 - Pandas/006 DataFrames - Part Three - Working with Columns__en.srt20.61 KiB
05 - Pandas/007 DataFrames - Part Four - Working with Rows.mp472.59 MiB
05 - Pandas/007 DataFrames - Part Four - Working with Rows__en.srt21.09 KiB
05 - Pandas/008 Pandas - Conditional Filtering.mp469.21 MiB
05 - Pandas/008 Pandas - Conditional Filtering__en.srt27.14 KiB
05 - Pandas/009 Pandas - Useful Methods - Apply on Single Column.mp453.72 MiB
05 - Pandas/009 Pandas - Useful Methods - Apply on Single Column__en.srt20.23 KiB
05 - Pandas/010 Pandas - Useful Methods - Apply on Multiple Columns.mp485.32 MiB
05 - Pandas/010 Pandas - Useful Methods - Apply on Multiple Columns__en.srt25.93 KiB
05 - Pandas/011 Pandas - Useful Methods - Statistical Information and Sorting.mp474.37 MiB
05 - Pandas/011 Pandas - Useful Methods - Statistical Information and Sorting__en.srt23.4 KiB
05 - Pandas/012 Missing Data - Overview.mp427.24 MiB
05 - Pandas/012 Missing Data - Overview__en.srt18.36 KiB
05 - Pandas/013 Missing Data - Pandas Operations.mp473.6 MiB
05 - Pandas/013 Missing Data - Pandas Operations__en.srt27.41 KiB
05 - Pandas/014 GroupBy Operations - Part One.mp486.96 MiB
05 - Pandas/014 GroupBy Operations - Part One__en.srt21.41 KiB
05 - Pandas/015 GroupBy Operations - Part Two - MultiIndex.mp492.86 MiB
05 - Pandas/015 GroupBy Operations - Part Two - MultiIndex__en.srt20.86 KiB
05 - Pandas/016 Combining DataFrames - Concatenation.mp436.84 MiB
05 - Pandas/016 Combining DataFrames - Concatenation__en.srt15.02 KiB
05 - Pandas/017 Combining DataFrames - Inner Merge.mp440.27 MiB
05 - Pandas/017 Combining DataFrames - Inner Merge__en.srt18.52 KiB
05 - Pandas/018 Combining DataFrames - Left and Right Merge.mp416.4 MiB
05 - Pandas/018 Combining DataFrames - Left and Right Merge__en.srt9.1 KiB
05 - Pandas/019 Combining DataFrames - Outer Merge.mp422.17 MiB
05 - Pandas/019 Combining DataFrames - Outer Merge__en.srt14.57 KiB
05 - Pandas/020 Pandas - Text Methods for String Data.mp445.12 MiB
05 - Pandas/020 Pandas - Text Methods for String Data__en.srt23.95 KiB
05 - Pandas/021 Pandas - Time Methods for Date and Time Data.mp480.19 MiB
05 - Pandas/021 Pandas - Time Methods for Date and Time Data__en.srt31.72 KiB
05 - Pandas/022 Pandas Input and Output - CSV Files.mp437.15 MiB
05 - Pandas/022 Pandas Input and Output - CSV Files__en.srt16.6 KiB
05 - Pandas/023 Pandas Input and Output - HTML Tables.mp4102.34 MiB
05 - Pandas/023 Pandas Input and Output - HTML Tables__en.srt22.36 KiB
05 - Pandas/024 Pandas Input and Output - Excel Files.mp425.87 MiB
05 - Pandas/024 Pandas Input and Output - Excel Files__en.srt10.88 KiB
05 - Pandas/025 Pandas Input and Output - SQL Databases.mp495.98 MiB
05 - Pandas/025 Pandas Input and Output - SQL Databases__en.srt29.43 KiB
05 - Pandas/026 Pandas Pivot Tables.mp4129.09 MiB
05 - Pandas/026 Pandas Pivot Tables__en.srt32.18 KiB
05 - Pandas/027 Pandas Project Exercise Overview.mp439.43 MiB
05 - Pandas/027 Pandas Project Exercise Overview__en.srt9.59 KiB
05 - Pandas/028 Pandas Project Exercise Solutions.mp4172.55 MiB
05 - Pandas/028 Pandas Project Exercise Solutions__en.srt38.77 KiB
06 - Matplotlib/001 Introduction to Matplotlib.mp46.55 MiB
06 - Matplotlib/001 Introduction to Matplotlib__en.srt6.72 KiB
06 - Matplotlib/002 Matplotlib Basics.mp431.07 MiB
06 - Matplotlib/002 Matplotlib Basics__en.srt19.64 KiB
06 - Matplotlib/003 Matplotlib - Understanding the Figure Object.mp411.7 MiB
06 - Matplotlib/003 Matplotlib - Understanding the Figure Object__en.srt11.55 KiB
06 - Matplotlib/004 Matplotlib - Implementing Figures and Axes.mp434.86 MiB
06 - Matplotlib/004 Matplotlib - Implementing Figures and Axes__en.srt20.97 KiB
06 - Matplotlib/005 Matplotlib - Figure Parameters.mp413.06 MiB
06 - Matplotlib/005 Matplotlib - Figure Parameters__en.srt7.65 KiB
06 - Matplotlib/006 Matplotlib - Subplots Functionality.mp496.57 MiB
06 - Matplotlib/006 Matplotlib - Subplots Functionality__en.srt28.63 KiB
06 - Matplotlib/007 Matplotlib Styling - Legends.mp416.19 MiB
06 - Matplotlib/007 Matplotlib Styling - Legends__en.srt10.36 KiB
06 - Matplotlib/008 Matplotlib Styling - Colors and Styles.mp444.27 MiB
06 - Matplotlib/008 Matplotlib Styling - Colors and Styles__en.srt21.04 KiB
06 - Matplotlib/009 Advanced Matplotlib Commands (Optional).mp425.19 MiB
06 - Matplotlib/009 Advanced Matplotlib Commands (Optional)__en.srt6.49 KiB
06 - Matplotlib/010 Matplotlib Exercise Questions Overview.mp448.99 MiB
06 - Matplotlib/010 Matplotlib Exercise Questions Overview__en.srt9.33 KiB
06 - Matplotlib/011 Matplotlib Exercise Questions - Solutions.mp4105.86 MiB
06 - Matplotlib/011 Matplotlib Exercise Questions - Solutions__en.srt24.53 KiB
07 - Seaborn Data Visualizations/001 Introduction to Seaborn.mp45.74 MiB
07 - Seaborn Data Visualizations/001 Introduction to Seaborn__en.srt6.51 KiB
07 - Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4111.3 MiB
07 - Seaborn Data Visualizations/002 Scatterplots with Seaborn__en.srt29.72 KiB
07 - Seaborn Data Visualizations/003 Distribution Plots - Part One - Understanding Plot Types.mp415.03 MiB
07 - Seaborn Data Visualizations/003 Distribution Plots - Part One - Understanding Plot Types__en.srt15 KiB
07 - Seaborn Data Visualizations/004 Distribution Plots - Part Two - Coding with Seaborn.mp459.21 MiB
07 - Seaborn Data Visualizations/004 Distribution Plots - Part Two - Coding with Seaborn__en.srt24.79 KiB
07 - Seaborn Data Visualizations/005 Categorical Plots - Statistics within Categories - Understanding Plot Types.mp415.98 MiB
07 - Seaborn Data Visualizations/005 Categorical Plots - Statistics within Categories - Understanding Plot Types__en.srt8.8 KiB
07 - Seaborn Data Visualizations/006 Categorical Plots - Statistics within Categories - Coding with Seaborn.mp451.65 MiB
07 - Seaborn Data Visualizations/006 Categorical Plots - Statistics within Categories - Coding with Seaborn__en.srt14.61 KiB
07 - Seaborn Data Visualizations/007 Categorical Plots - Distributions within Categories - Understanding Plot Types.mp444.96 MiB
07 - Seaborn Data Visualizations/007 Categorical Plots - Distributions within Categories - Understanding Plot Types__en.srt20.1 KiB
07 - Seaborn Data Visualizations/008 Categorical Plots - Distributions within Categories - Coding with Seaborn.mp484.57 MiB
07 - Seaborn Data Visualizations/008 Categorical Plots - Distributions within Categories - Coding with Seaborn__en.srt28.26 KiB
07 - Seaborn Data Visualizations/009 Seaborn - Comparison Plots - Understanding the Plot Types.mp410.57 MiB
07 - Seaborn Data Visualizations/009 Seaborn - Comparison Plots - Understanding the Plot Types__en.srt8.74 KiB
07 - Seaborn Data Visualizations/010 Seaborn - Comparison Plots - Coding with Seaborn.mp451.16 MiB
07 - Seaborn Data Visualizations/010 Seaborn - Comparison Plots - Coding with Seaborn__en.srt15.71 KiB
07 - Seaborn Data Visualizations/011 Seaborn Grid Plots.mp487.01 MiB
07 - Seaborn Data Visualizations/011 Seaborn Grid Plots__en.srt20.5 KiB
07 - Seaborn Data Visualizations/012 Seaborn - Matrix Plots.mp461.47 MiB
07 - Seaborn Data Visualizations/012 Seaborn - Matrix Plots__en.srt21.09 KiB
07 - Seaborn Data Visualizations/013 Seaborn Plot Exercises Overview.mp447.88 MiB
07 - Seaborn Data Visualizations/013 Seaborn Plot Exercises Overview__en.srt11.26 KiB
07 - Seaborn Data Visualizations/014 Seaborn Plot Exercises Solutions.mp4105.72 MiB
07 - Seaborn Data Visualizations/014 Seaborn Plot Exercises Solutions__en.srt22.39 KiB
08 - Data Analysis and Visualization Capstone Project Exercise/001 Capstone Project Overview.mp431.11 MiB
08 - Data Analysis and Visualization Capstone Project Exercise/001 Capstone Project Overview__en.srt20.6 KiB
08 - Data Analysis and Visualization Capstone Project Exercise/002 Capstone Project Solutions - Part One.mp4110.61 MiB
08 - Data Analysis and Visualization Capstone Project Exercise/002 Capstone Project Solutions - Part One__en.srt26.84 KiB
08 - Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4106.18 MiB
08 - Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two__en.srt23.48 KiB
08 - Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4137.39 MiB
08 - Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three__en.srt30.88 KiB
08 - Data Analysis and Visualization Capstone Project Exercise/GetFreeCourses.Co.url116 B
08 - Data Analysis and Visualization Capstone Project Exercise/How you can help GetFreeCourses.Co.txt182 B
09 - Machine Learning Concepts Overview/001 Introduction to Machine Learning Overview Section.mp413.17 MiB
09 - Machine Learning Concepts Overview/001 Introduction to Machine Learning Overview Section__en.srt8.58 KiB
09 - Machine Learning Concepts Overview/002 Why Machine Learning_.mp421.04 MiB
09 - Machine Learning Concepts Overview/002 Why Machine Learning___en.srt14.66 KiB
09 - Machine Learning Concepts Overview/003 Types of Machine Learning Algorithms.mp418.08 MiB
09 - Machine Learning Concepts Overview/003 Types of Machine Learning Algorithms__en.srt11.63 KiB
09 - Machine Learning Concepts Overview/004 Supervised Machine Learning Process.mp433.53 MiB
09 - Machine Learning Concepts Overview/004 Supervised Machine Learning Process__en.srt19.77 KiB
09 - Machine Learning Concepts Overview/005 Companion Book - Introduction to Statistical Learning.mp45.11 MiB
09 - Machine Learning Concepts Overview/005 Companion Book - Introduction to Statistical Learning__en.srt4.66 KiB
10 - Linear Regression/001 Introduction to Linear Regression Section.mp42.58 MiB
10 - Linear Regression/001 Introduction to Linear Regression Section__en.srt2.68 KiB
10 - Linear Regression/002 Linear Regression - Algorithm History.mp454.82 MiB
10 - Linear Regression/002 Linear Regression - Algorithm History__en.srt13.09 KiB
10 - Linear Regression/003 Linear Regression - Understanding Ordinary Least Squares.mp486.37 MiB
10 - Linear Regression/003 Linear Regression - Understanding Ordinary Least Squares__en.srt22.53 KiB
10 - Linear Regression/004 Linear Regression - Cost Functions.mp416.63 MiB
10 - Linear Regression/004 Linear Regression - Cost Functions__en.srt11.46 KiB
10 - Linear Regression/005 Linear Regression - Gradient Descent.mp429.21 MiB
10 - Linear Regression/005 Linear Regression - Gradient Descent__en.srt16.73 KiB
10 - Linear Regression/006 Python coding Simple Linear Regression.mp470.14 MiB
10 - Linear Regression/006 Python coding Simple Linear Regression__en.srt28.14 KiB
10 - Linear Regression/007 Overview of Scikit-Learn and Python.mp431.44 MiB
10 - Linear Regression/007 Overview of Scikit-Learn and Python__en.srt10.14 KiB
10 - Linear Regression/007 Overview of Scikit-Learn and Python_en.vtt10.96 KiB
10 - Linear Regression/008 Linear Regression - Scikit-Learn Train Test Split.mp461.42 MiB
10 - Linear Regression/008 Linear Regression - Scikit-Learn Train Test Split__en.srt23.78 KiB
10 - Linear Regression/009 Linear Regression - Scikit-Learn Performance Evaluation - Regression.mp453.4 MiB
10 - Linear Regression/009 Linear Regression - Scikit-Learn Performance Evaluation - Regression__en.srt23 KiB
10 - Linear Regression/010 Linear Regression - Residual Plots.mp444.02 MiB
10 - Linear Regression/010 Linear Regression - Residual Plots__en.srt20.22 KiB
10 - Linear Regression/011 Linear Regression - Model Deployment and Coefficient Interpretation.mp481.14 MiB
10 - Linear Regression/011 Linear Regression - Model Deployment and Coefficient Interpretation__en.srt25.62 KiB
10 - Linear Regression/012 Polynomial Regression - Theory and Motivation.mp422.25 MiB
10 - Linear Regression/012 Polynomial Regression - Theory and Motivation__en.srt11.21 KiB
10 - Linear Regression/013 Polynomial Regression - Creating Polynomial Features.mp440.09 MiB
10 - Linear Regression/013 Polynomial Regression - Creating Polynomial Features__en.srt16.39 KiB
10 - Linear Regression/014 Polynomial Regression - Training and Evaluation.mp436.3 MiB
10 - Linear Regression/014 Polynomial Regression - Training and Evaluation__en.srt14.17 KiB
10 - Linear Regression/015 Bias Variance Trade-Off.mp436.18 MiB
10 - Linear Regression/015 Bias Variance Trade-Off__en.srt15.94 KiB
10 - Linear Regression/016 Polynomial Regression - Choosing Degree of Polynomial.mp455.68 MiB
10 - Linear Regression/016 Polynomial Regression - Choosing Degree of Polynomial__en.srt19.88 KiB
10 - Linear Regression/017 Polynomial Regression - Model Deployment.mp423.22 MiB
10 - Linear Regression/017 Polynomial Regression - Model Deployment__en.srt8.38 KiB
10 - Linear Regression/018 Regularization Overview.mp415.52 MiB
10 - Linear Regression/018 Regularization Overview__en.srt10.33 KiB
10 - Linear Regression/019 Feature Scaling.mp424.34 MiB
10 - Linear Regression/019 Feature Scaling__en.srt14.83 KiB
10 - Linear Regression/020 Introduction to Cross Validation.mp432.97 MiB
10 - Linear Regression/020 Introduction to Cross Validation__en.srt19.81 KiB
10 - Linear Regression/021 Regularization Data Setup.mp420.16 MiB
10 - Linear Regression/021 Regularization Data Setup__en.srt12.42 KiB
10 - Linear Regression/022 L2 Regularization - Ridge Regression Theory.mp461.3 MiB
10 - Linear Regression/022 L2 Regularization - Ridge Regression Theory__en.srt20.72 KiB
10 - Linear Regression/023 L2 Regularization - Ridge Regression - Python Implementation.mp489.37 MiB
10 - Linear Regression/023 L2 Regularization - Ridge Regression - Python Implementation__en.srt10.89 KiB
10 - Linear Regression/023 L2 Regularization - Ridge Regression - Python Implementation_en.vtt22.98 KiB
10 - Linear Regression/024 L1 Regularization - Lasso Regression - Background and Implementation.mp494.65 MiB
10 - Linear Regression/024 L1 Regularization - Lasso Regression - Background and Implementation__en.srt5.4 KiB
10 - Linear Regression/024 L1 Regularization - Lasso Regression - Background and Implementation_en.vtt19.64 KiB
10 - Linear Regression/025 L1 and L2 Regularization - Elastic Net.mp466.4 MiB
10 - Linear Regression/025 L1 and L2 Regularization - Elastic Net__en.srt16.97 KiB
10 - Linear Regression/025 L1 and L2 Regularization - Elastic Net_en.vtt22.62 KiB
10 - Linear Regression/026 Linear Regression Project - Data Overview.mp416.94 MiB
10 - Linear Regression/026 Linear Regression Project - Data Overview__en.srt7.67 KiB
11 - Feature Engineering and Data Preparation/001 A note from Jose on Feature Engineering and Data Preparation.html99 B
11 - Feature Engineering and Data Preparation/002 Introduction to Feature Engineering and Data Preparation.mp436.11 MiB
11 - Feature Engineering and Data Preparation/002 Introduction to Feature Engineering and Data Preparation__en.srt24.1 KiB
11 - Feature Engineering and Data Preparation/003 Dealing with Outliers.mp4103.32 MiB
11 - Feature Engineering and Data Preparation/003 Dealing with Outliers__en.srt41.2 KiB
11 - Feature Engineering and Data Preparation/004 Dealing with Missing Data _ Part One - Evaluation of Missing Data.mp419.05 MiB
11 - Feature Engineering and Data Preparation/004 Dealing with Missing Data _ Part One - Evaluation of Missing Data__en.srt16.97 KiB
11 - Feature Engineering and Data Preparation/005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows.mp4117.56 MiB
11 - Feature Engineering and Data Preparation/005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows__en.srt31.42 KiB
11 - Feature Engineering and Data Preparation/006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns.mp4105.22 MiB
11 - Feature Engineering and Data Preparation/006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns__en.srt36.75 KiB
11 - Feature Engineering and Data Preparation/007 Dealing with Categorical Data - Encoding Options.mp458.87 MiB
11 - Feature Engineering and Data Preparation/007 Dealing with Categorical Data - Encoding Options__en.srt20.1 KiB
12 - Cross Validation , Grid Search, and the Linear Regression Project/001 Section Overview and Introduction.mp45.61 MiB
12 - Cross Validation , Grid Search, and the Linear Regression Project/001 Section Overview and Introduction__en.srt5.05 KiB
12 - Cross Validation , Grid Search, and the Linear Regression Project/002 Cross Validation - Test _ Train Split.mp446.86 MiB
12 - Cross Validation , Grid Search, and the Linear Regression Project/002 Cross Validation - Test _ Train Split__en.srt17.43 KiB
12 - Cross Validation , Grid Search, and the Linear Regression Project/003 Cross Validation - Test _ Validation _ Train Split.mp459.41 MiB
12 - Cross Validation , Grid Search, and the Linear Regression Project/003 Cross Validation - Test _ Validation _ Train Split__en.srt21.65 KiB
12 - Cross Validation , Grid Search, and the Linear Regression Project/004 Cross Validation - cross_val_score.mp444.46 MiB
12 - Cross Validation , Grid Search, and the Linear Regression Project/004 Cross Validation - cross_val_score__en.srt8.14 KiB
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12 - Cross Validation , Grid Search, and the Linear Regression Project/006 Grid Search.mp473.19 MiB
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12 - Cross Validation , Grid Search, and the Linear Regression Project/007 Linear Regression Project Overview.mp423.63 MiB
12 - Cross Validation , Grid Search, and the Linear Regression Project/007 Linear Regression Project Overview__en.srt5.82 KiB
12 - Cross Validation , Grid Search, and the Linear Regression Project/008 Linear Regression Project - Solutions.mp491.23 MiB
12 - Cross Validation , Grid Search, and the Linear Regression Project/008 Linear Regression Project - Solutions__en.srt8.8 KiB
12 - Cross Validation , Grid Search, and the Linear Regression Project/008 Linear Regression Project - Solutions_en.vtt15.87 KiB
13 - Logistic Regression/001 Early Bird Note on Downloading .zip for Logistic Regression Notes.html523 B
13 - Logistic Regression/002 Introduction to Logistic Regression Section.mp413.93 MiB
13 - Logistic Regression/002 Introduction to Logistic Regression Section__en.srt8.39 KiB
13 - Logistic Regression/003 Logistic Regression - Theory and Intuition - Part One_ The Logistic Function.mp417.31 MiB
13 - Logistic Regression/003 Logistic Regression - Theory and Intuition - Part One_ The Logistic Function__en.srt8.09 KiB
13 - Logistic Regression/004 Logistic Regression - Theory and Intuition - Part Two_ Linear to Logistic.mp48.03 MiB
13 - Logistic Regression/004 Logistic Regression - Theory and Intuition - Part Two_ Linear to Logistic__en.srt7.27 KiB
13 - Logistic Regression/005 Logistic Regression - Theory and Intuition - Linear to Logistic Math.mp436.04 MiB
13 - Logistic Regression/005 Logistic Regression - Theory and Intuition - Linear to Logistic Math__en.srt24.81 KiB
13 - Logistic Regression/006 Logistic Regression - Theory and Intuition - Best fit with Maximum Likelihood.mp454.91 MiB
13 - Logistic Regression/006 Logistic Regression - Theory and Intuition - Best fit with Maximum Likelihood__en.srt22.96 KiB
13 - Logistic Regression/007 Logistic Regression with Scikit-Learn - Part One - EDA.mp462.45 MiB
13 - Logistic Regression/007 Logistic Regression with Scikit-Learn - Part One - EDA__en.srt21.9 KiB
13 - Logistic Regression/008 Logistic Regression with Scikit-Learn - Part Two - Model Training.mp432.57 MiB
13 - Logistic Regression/008 Logistic Regression with Scikit-Learn - Part Two - Model Training__en.srt9.57 KiB
13 - Logistic Regression/009 Classification Metrics - Confusion Matrix and Accuracy.mp421.72 MiB
13 - Logistic Regression/009 Classification Metrics - Confusion Matrix and Accuracy__en.srt13.93 KiB
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13 - Logistic Regression/011 Classification Metrics - ROC Curves.mp416.07 MiB
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13 - Logistic Regression/012 Logistic Regression with Scikit-Learn - Part Three - Performance Evaluation.mp457.03 MiB
13 - Logistic Regression/012 Logistic Regression with Scikit-Learn - Part Three - Performance Evaluation__en.srt23.43 KiB
13 - Logistic Regression/013 Multi-Class Classification with Logistic Regression - Part One - Data and EDA.mp437.38 MiB
13 - Logistic Regression/013 Multi-Class Classification with Logistic Regression - Part One - Data and EDA__en.srt12.01 KiB
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