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Download [GigaCourse.Com] Udemy - Machine Learning A-Z™ AI, Python & R + ChatGPT Bonus [2023]

GigaCourse Com Udemy Machine Learning AI Python ChatGPT Bonus 2023

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Total Size

11.3 GB

Total Files

748

Last Seen

2025-08-05 23:56

Hash

7319748660D34DACAA0DBBDEF0D0E63962864FDA

/0. Websites you may like/

[CourseClub.Me].url

0.1 KB

[GigaCourse.Com].url

0.0 KB

/01 - Welcome to the course! Here we will help you get started in the best conditions/

001 Welcome Challenge!.html

3.1 KB

002 Machine Learning Demo - Get Excited!.mp4

53.2 MB

002 Machine Learning Demo - Get Excited!_en.srt

9.3 KB

003 Get all the Datasets, Codes and Slides here.html

0.4 KB

004 How to use the ML A-Z folder & Google Colab.mp4

26.9 MB

004 How to use the ML A-Z folder & Google Colab_en.srt

12.0 KB

005 Installing R and R Studio (Mac, Linux & Windows).mp4

35.2 MB

005 Installing R and R Studio (Mac, Linux & Windows)_en.srt

10.7 KB

006 BONUS Use ChatGPT to Boost your ML Skills.html

1.0 KB

/02 - -------------------- Part 1 Data Preprocessing --------------------/

001 Welcome to Part 1 - Data Preprocessing.html

0.5 KB

002 The Machine Learning process.mp4

8.4 MB

002 The Machine Learning process_en.srt

3.1 KB

003 Splitting the data into a Training and Test set.mp4

5.6 MB

003 Splitting the data into a Training and Test set_en.srt

3.6 KB

004 Feature Scaling.mp4

14.7 MB

004 Feature Scaling_en.srt

12.2 KB

/03 - Data Preprocessing in Python/

001 Getting Started - Step 1.mp4

11.3 MB

001 Getting Started - Step 1_en.srt

10.9 KB

002 Getting Started - Step 2.mp4

36.8 MB

002 Getting Started - Step 2_en.srt

10.2 KB

003 Importing the Libraries.mp4

7.8 MB

003 Importing the Libraries_en.srt

7.2 KB

004 Importing the Dataset - Step 1.mp4

13.2 MB

004 Importing the Dataset - Step 1_en.srt

10.5 KB

005 Importing the Dataset - Step 2.mp4

10.3 MB

005 Importing the Dataset - Step 2_en.srt

8.7 KB

006 Importing the Dataset - Step 3.mp4

14.6 MB

006 Importing the Dataset - Step 3_en.srt

11.3 KB

007 For Python learners, summary of Object-oriented programming classes & objects.html

1.5 KB

008 Taking care of Missing Data - Step 1.mp4

16.9 MB

008 Taking care of Missing Data - Step 1_en.srt

13.6 KB

009 Taking care of Missing Data - Step 2.mp4

30.9 MB

009 Taking care of Missing Data - Step 2_en.srt

10.7 KB

010 Encoding Categorical Data - Step 1.mp4

14.1 MB

010 Encoding Categorical Data - Step 1_en.srt

7.8 KB

011 Encoding Categorical Data - Step 2.mp4

20.7 MB

011 Encoding Categorical Data - Step 2_en.srt

11.0 KB

012 Encoding Categorical Data - Step 3.mp4

14.8 MB

012 Encoding Categorical Data - Step 3_en.srt

8.3 KB

013 Splitting the dataset into the Training set and Test set - Step 1.mp4

10.8 MB

013 Splitting the dataset into the Training set and Test set - Step 1_en.srt

7.2 KB

014 Splitting the dataset into the Training set and Test set - Step 2.mp4

14.3 MB

014 Splitting the dataset into the Training set and Test set - Step 2_en.srt

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015 Splitting the dataset into the Training set and Test set - Step 3.mp4

12.2 MB

015 Splitting the dataset into the Training set and Test set - Step 3_en.srt

6.9 KB

016 Feature Scaling - Step 1.mp4

13.7 MB

016 Feature Scaling - Step 1_en.srt

11.1 KB

017 Feature Scaling - Step 2.mp4

12.3 MB

017 Feature Scaling - Step 2_en.srt

8.9 KB

018 Feature Scaling - Step 3.mp4

11.8 MB

018 Feature Scaling - Step 3_en.srt

7.3 KB

019 Feature Scaling - Step 4.mp4

17.7 MB

019 Feature Scaling - Step 4_en.srt

11.4 KB

/04 - Data Preprocessing in R/

001 Getting Started.mp4

4.3 MB

001 Getting Started_en.srt

3.1 KB

002 Dataset Description.mp4

6.7 MB

002 Dataset Description_en.srt

3.9 KB

003 Importing the Dataset.mp4

7.2 MB

003 Importing the Dataset_en.srt

5.0 KB

004 Taking care of Missing Data.mp4

22.5 MB

004 Taking care of Missing Data_en.srt

10.9 KB

005 Encoding Categorical Data.mp4

67.0 MB

005 Encoding Categorical Data_en.srt

10.5 KB

006 Splitting the dataset into the Training set and Test set - Step 1.mp4

17.4 MB

006 Splitting the dataset into the Training set and Test set - Step 1_en.srt

9.5 KB

007 Splitting the dataset into the Training set and Test set - Step 2.mp4

20.6 MB

007 Splitting the dataset into the Training set and Test set - Step 2_en.srt

9.2 KB

008 Feature Scaling - Step 1.mp4

23.9 MB

008 Feature Scaling - Step 1_en.srt

7.9 KB

009 Feature Scaling - Step 2.mp4

38.1 MB

009 Feature Scaling - Step 2_en.srt

8.3 KB

010 Data Preprocessing Template.mp4

23.7 MB

010 Data Preprocessing Template_en.srt

11.1 KB

/05 - -------------------- Part 2 Regression --------------------/

001 Welcome to Part 2 - Regression.html

0.8 KB

/06 - Simple Linear Regression/

001 Simple Linear Regression Intuition.mp4

5.2 MB

001 Simple Linear Regression Intuition_en.srt

4.2 KB

002 Ordinary Least Squares.mp4

13.3 MB

002 Ordinary Least Squares_en.srt

5.9 KB

003 Simple Linear Regression in Python - Step 1a.mp4

9.1 MB

003 Simple Linear Regression in Python - Step 1a_en.srt

11.5 KB

004 Simple Linear Regression in Python - Step 1b.mp4

15.2 MB

004 Simple Linear Regression in Python - Step 1b_en.srt

11.5 KB

005 Simple Linear Regression in Python - Step 2a.mp4

8.9 MB

005 Simple Linear Regression in Python - Step 2a_en.srt

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006 Simple Linear Regression in Python - Step 2b.mp4

11.4 MB

006 Simple Linear Regression in Python - Step 2b_en.srt

8.2 KB

007 Simple Linear Regression in Python - Step 3.mp4

22.0 MB

007 Simple Linear Regression in Python - Step 3_en.srt

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008 Simple Linear Regression in Python - Step 4a.mp4

18.5 MB

008 Simple Linear Regression in Python - Step 4a_en.srt

10.9 KB

009 Simple Linear Regression in Python - Step 4b.mp4

20.3 MB

009 Simple Linear Regression in Python - Step 4b_en.srt

11.4 KB

010 Simple Linear Regression in Python - Additional Lecture.html

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011 Simple Linear Regression in R - Step 1.mp4

11.9 MB

011 Simple Linear Regression in R - Step 1_en.srt

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012 Simple Linear Regression in R - Step 2.mp4

20.0 MB

012 Simple Linear Regression in R - Step 2_en.srt

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013 Simple Linear Regression in R - Step 3.mp4

15.3 MB

013 Simple Linear Regression in R - Step 3_en.srt

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014 Simple Linear Regression in R - Step 4a.mp4

30.4 MB

014 Simple Linear Regression in R - Step 4a_en.srt

10.1 KB

015 Simple Linear Regression in R - Step 4b.mp4

21.7 MB

015 Simple Linear Regression in R - Step 4b_en.srt

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[CourseClub.Me].url

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[GigaCourse.Com].url

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/07 - Multiple Linear Regression/

001 Dataset + Business Problem Description.mp4

14.8 MB

001 Dataset + Business Problem Description_en.srt

5.6 KB

002 Multiple Linear Regression Intuition.mp4

8.8 MB

002 Multiple Linear Regression Intuition_en.srt

4.6 KB

003 Assumptions of Linear Regression.mp4

25.8 MB

003 Assumptions of Linear Regression_en.srt

9.0 KB

003 Download-the-PDF.url

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004 Multiple Linear Regression Intuition - Step 3.mp4

19.9 MB

004 Multiple Linear Regression Intuition - Step 3_en.srt

10.6 KB

005 Multiple Linear Regression Intuition - Step 4.mp4

17.3 MB

005 Multiple Linear Regression Intuition - Step 4_en.srt

3.5 KB

006 Understanding the P-Value.mp4

24.3 MB

006 Understanding the P-Value_en.srt

22.5 KB

007 Multiple Linear Regression Intuition - Step 5.mp4

35.0 MB

007 Multiple Linear Regression Intuition - Step 5_en.srt

23.2 KB

008 Multiple Linear Regression in Python - Step 1a.mp4

19.8 MB

008 Multiple Linear Regression in Python - Step 1a_en.srt

11.1 KB

009 Multiple Linear Regression in Python - Step 1b.mp4

12.9 MB

009 Multiple Linear Regression in Python - Step 1b_en.srt

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010 Multiple Linear Regression in Python - Step 2a.mp4

29.9 MB

010 Multiple Linear Regression in Python - Step 2a_en.srt

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011 Multiple Linear Regression in Python - Step 2b.mp4

39.9 MB

011 Multiple Linear Regression in Python - Step 2b_en.srt

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012 Multiple Linear Regression in Python - Step 3a.mp4

15.5 MB

012 Multiple Linear Regression in Python - Step 3a_en.srt

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013 Multiple Linear Regression in Python - Step 3b.mp4

15.4 MB

013 Multiple Linear Regression in Python - Step 3b_en.srt

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014 Multiple Linear Regression in Python - Step 4a.mp4

40.9 MB

014 Multiple Linear Regression in Python - Step 4a_en.srt

11.0 KB

015 Multiple Linear Regression in Python - Step 4b.mp4

14.9 MB

015 Multiple Linear Regression in Python - Step 4b_en.srt

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016 Multiple Linear Regression in Python - Backward Elimination.html

3.6 KB

017 Multiple Linear Regression in Python - EXTRA CONTENT.html

1.2 KB

018 Multiple Linear Regression in R - Step 1a.mp4

11.1 MB

018 Multiple Linear Regression in R - Step 1a_en.srt

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019 Multiple Linear Regression in R - Step 1b.mp4

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019 Multiple Linear Regression in R - Step 1b_en.srt

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020 Multiple Linear Regression in R - Step 2a.mp4

28.0 MB

020 Multiple Linear Regression in R - Step 2a_en.srt

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021 Multiple Linear Regression in R - Step 2b.mp4

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021 Multiple Linear Regression in R - Step 2b_en.srt

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022 Multiple Linear Regression in R - Step 3.mp4

15.0 MB

022 Multiple Linear Regression in R - Step 3_en.srt

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023 Multiple Linear Regression in R - Backward Elimination - HOMEWORK !.mp4

67.7 MB

023 Multiple Linear Regression in R - Backward Elimination - HOMEWORK !_en.srt

27.1 KB

024 Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp4

34.0 MB

024 Multiple Linear Regression in R - Backward Elimination - Homework Solution_en.srt

11.7 KB

025 Multiple Linear Regression in R - Automatic Backward Elimination.html

0.8 KB

external-links.txt

0.1 KB

/08 - Polynomial Regression/

001 Polynomial Regression Intuition.mp4

9.0 MB

001 Polynomial Regression Intuition_en.srt

7.7 KB

002 Polynomial Regression in Python - Step 1a.mp4

7.8 MB

002 Polynomial Regression in Python - Step 1a_en.srt

8.6 KB

003 Polynomial Regression in Python - Step 1b.mp4

20.7 MB

003 Polynomial Regression in Python - Step 1b_en.srt

11.6 KB

004 Polynomial Regression in Python - Step 2a.mp4

17.3 MB

004 Polynomial Regression in Python - Step 2a_en.srt

11.7 KB

005 Polynomial Regression in Python - Step 2b.mp4

18.8 MB

005 Polynomial Regression in Python - Step 2b_en.srt

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006 Polynomial Regression in Python - Step 3a.mp4

20.7 MB

006 Polynomial Regression in Python - Step 3a_en.srt

11.2 KB

007 Polynomial Regression in Python - Step 3b.mp4

19.2 MB

007 Polynomial Regression in Python - Step 3b_en.srt

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008 Polynomial Regression in Python - Step 4a.mp4

11.7 MB

008 Polynomial Regression in Python - Step 4a_en.srt

7.1 KB

009 Polynomial Regression in Python - Step 4b.mp4

9.5 MB

009 Polynomial Regression in Python - Step 4b_en.srt

6.9 KB

010 Polynomial Regression in R - Step 1a.mp4

17.7 MB

010 Polynomial Regression in R - Step 1a_en.srt

7.0 KB

011 Polynomial Regression in R - Step 1b.mp4

14.4 MB

011 Polynomial Regression in R - Step 1b_en.srt

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012 Polynomial Regression in R - Step 2a.mp4

15.2 MB

012 Polynomial Regression in R - Step 2a_en.srt

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013 Polynomial Regression in R - Step 2b.mp4

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013 Polynomial Regression in R - Step 2b_en.srt

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014 Polynomial Regression in R - Step 3a.mp4

21.7 MB

014 Polynomial Regression in R - Step 3a_en.srt

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015 Polynomial Regression in R - Step 3b.mp4

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015 Polynomial Regression in R - Step 3b_en.srt

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016 Polynomial Regression in R - Step 3c.mp4

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016 Polynomial Regression in R - Step 3c_en.srt

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017 Polynomial Regression in R - Step 4a.mp4

15.7 MB

017 Polynomial Regression in R - Step 4a_en.srt

6.9 KB

018 Polynomial Regression in R - Step 4b.mp4

14.9 MB

018 Polynomial Regression in R - Step 4b_en.srt

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019 R Regression Template - Step 1.mp4

21.6 MB

019 R Regression Template - Step 1_en.srt

11.3 KB

020 R Regression Template - Step 2.mp4

14.2 MB

020 R Regression Template - Step 2_en.srt

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/09 - Support Vector Regression (SVR)/

001 SVR Intuition (Updated!).mp4

38.6 MB

001 SVR Intuition (Updated!)_en.srt

15.1 KB

002 Heads-up on non-linear SVR.mp4

20.7 MB

002 Heads-up on non-linear SVR_en.srt

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003 SVR in Python - Step 1a.mp4

12.6 MB

003 SVR in Python - Step 1a_en.srt

10.9 KB

004 SVR in Python - Step 1b.mp4

10.0 MB

004 SVR in Python - Step 1b_en.srt

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005 SVR in Python - Step 2a.mp4

18.0 MB

005 SVR in Python - Step 2a_en.srt

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006 SVR in Python - Step 2b.mp4

15.7 MB

006 SVR in Python - Step 2b_en.srt

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007 SVR in Python - Step 2c.mp4

9.0 MB

007 SVR in Python - Step 2c_en.srt

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008 SVR in Python - Step 3.mp4

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008 SVR in Python - Step 3_en.srt

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009 SVR in Python - Step 4.mp4

11.4 MB

009 SVR in Python - Step 4_en.srt

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010 SVR in Python - Step 5a.mp4

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010 SVR in Python - Step 5a_en.srt

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011 SVR in Python - Step 5b.mp4

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011 SVR in Python - Step 5b_en.srt

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012 SVR in R - Step 1.mp4

18.1 MB

012 SVR in R - Step 1_en.srt

10.6 KB

013 SVR in R - Step 2.mp4

14.1 MB

013 SVR in R - Step 2_en.srt

9.7 KB

/10 - Decision Tree Regression/

001 Decision Tree Regression Intuition.mp4

24.4 MB

001 Decision Tree Regression Intuition_en.srt

16.8 KB

002 Decision Tree Regression in Python - Step 1a.mp4

9.8 MB

002 Decision Tree Regression in Python - Step 1a_en.srt

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003 Decision Tree Regression in Python - Step 1b.mp4

11.6 MB

003 Decision Tree Regression in Python - Step 1b_en.srt

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004 Decision Tree Regression in Python - Step 2.mp4

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004 Decision Tree Regression in Python - Step 2_en.srt

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005 Decision Tree Regression in Python - Step 3.mp4

8.8 MB

005 Decision Tree Regression in Python - Step 3_en.srt

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006 Decision Tree Regression in Python - Step 4.mp4

12.2 MB

006 Decision Tree Regression in Python - Step 4_en.srt

9.2 KB

007 Decision Tree Regression in R - Step 1.mp4

17.5 MB

007 Decision Tree Regression in R - Step 1_en.srt

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008 Decision Tree Regression in R - Step 2.mp4

67.5 MB

008 Decision Tree Regression in R - Step 2_en.srt

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009 Decision Tree Regression in R - Step 3.mp4

10.8 MB

009 Decision Tree Regression in R - Step 3_en.srt

9.6 KB

010 Decision Tree Regression in R - Step 4.mp4

12.2 MB

010 Decision Tree Regression in R - Step 4_en.srt

6.9 KB

/11 - Random Forest Regression/

001 Random Forest Regression Intuition.mp4

37.5 MB

001 Random Forest Regression Intuition_en.srt

10.1 KB

002 Random Forest Regression in Python - Step 1.mp4

18.3 MB

002 Random Forest Regression in Python - Step 1_en.srt

11.3 KB

003 Random Forest Regression in Python - Step 2.mp4

30.6 MB

003 Random Forest Regression in Python - Step 2_en.srt

11.0 KB

004 Random Forest Regression in R - Step 1.mp4

21.1 MB

004 Random Forest Regression in R - Step 1_en.srt

11.3 KB

005 Random Forest Regression in R - Step 2.mp4

22.7 MB

005 Random Forest Regression in R - Step 2_en.srt

11.7 KB

006 Random Forest Regression in R - Step 3.mp4

17.5 MB

006 Random Forest Regression in R - Step 3_en.srt

10.8 KB

/12 - Evaluating Regression Models Performance/

001 R-Squared Intuition.mp4

17.3 MB

001 R-Squared Intuition_en.srt

8.3 KB

002 Adjusted R-Squared Intuition.mp4

12.1 MB

002 Adjusted R-Squared Intuition_en.srt

9.3 KB

/13 - Regression Model Selection in Python/

001 Machine-Learning-A-Z-Model-Selection.zip

165.8 KB

001 Make sure you have this Model Selection folder ready.html

1.0 KB

002 Preparation of the Regression Code Templates - Step 1.mp4

10.9 MB

002 Preparation of the Regression Code Templates - Step 1_en.srt

8.7 KB

003 Preparation of the Regression Code Templates - Step 2.mp4

23.0 MB

003 Preparation of the Regression Code Templates - Step 2_en.srt

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004 Preparation of the Regression Code Templates - Step 3.mp4

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004 Preparation of the Regression Code Templates - Step 3_en.srt

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005 Preparation of the Regression Code Templates - Step 4.mp4

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005 Preparation of the Regression Code Templates - Step 4_en.srt

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006 THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION! - STEP 1.mp4

23.9 MB

006 THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION! - STEP 1_en.srt

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007 THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION! - STEP 2.mp4

30.2 MB

007 THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION! - STEP 2_en.srt

7.9 KB

008 Conclusion of Part 2 - Regression.html

1.8 KB

008 Regression-Bonus.zip

373.2 KB

/14 - Regression Model Selection in R/

001 Evaluating Regression Models Performance - Homework's Final Part.mp4

29.1 MB

001 Evaluating Regression Models Performance - Homework's Final Part_en.srt

12.7 KB

002 Interpreting Linear Regression Coefficients.mp4

55.2 MB

002 Interpreting Linear Regression Coefficients_en.srt

13.2 KB

003 Conclusion of Part 2 - Regression.html

1.8 KB

003 Regression-Bonus.zip

373.2 KB

/15 - -------------------- Part 3 Classification --------------------/

001 Welcome to Part 3 - Classification.html

0.9 KB

/16 - Logistic Regression/

001 What is Classification.mp4

5.9 MB

001 What is Classification_en.srt

4.7 KB

002 Logistic Regression Intuition.mp4

26.0 MB

002 Logistic Regression Intuition_en.srt

8.9 KB

003 Maximum Likelihood.mp4

7.5 MB

003 Maximum Likelihood_en.srt

6.9 KB

004 Logistic Regression in Python - Step 1a.mp4

12.5 MB

004 Logistic Regression in Python - Step 1a_en.srt

10.4 KB

005 Logistic Regression in Python - Step 1b.mp4

9.7 MB

005 Logistic Regression in Python - Step 1b_en.srt

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006 Logistic Regression in Python - Step 2a.mp4

30.5 MB

006 Logistic Regression in Python - Step 2a_en.srt

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007 Logistic Regression in Python - Step 2b.mp4

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007 Logistic Regression in Python - Step 2b_en.srt

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008 Logistic Regression in Python - Step 3a.mp4

21.4 MB

008 Logistic Regression in Python - Step 3a_en.srt

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009 Logistic Regression in Python - Step 3b.mp4

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009 Logistic Regression in Python - Step 3b_en.srt

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010 Logistic Regression in Python - Step 4a.mp4

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010 Logistic Regression in Python - Step 4a_en.srt

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011 Logistic Regression in Python - Step 4b.mp4

4.7 MB

011 Logistic Regression in Python - Step 4b_en.srt

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012 Logistic Regression in Python - Step 5.mp4

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012 Logistic Regression in Python - Step 5_en.srt

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013 Logistic Regression in Python - Step 6a.mp4

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013 Logistic Regression in Python - Step 6a_en.srt

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014 Logistic Regression in Python - Step 6b.mp4

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014 Logistic Regression in Python - Step 6b_en.srt

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015 Logistic Regression in Python - Step 7a.mp4

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015 Logistic Regression in Python - Step 7a_en.srt

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016 Logistic Regression in Python - Step 7b.mp4

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016 Logistic Regression in Python - Step 7b_en.srt

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017 Logistic Regression in Python - Step 7c.mp4

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017 Logistic Regression in Python - Step 7c_en.srt

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018 Logistic Regression in Python - Step 7 (Colour-blind friendly image).html

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019 Logistic Regression in R - Step 1.mp4

20.2 MB

019 Logistic Regression in R - Step 1_en.srt

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020 Logistic Regression in R - Step 2.mp4

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020 Logistic Regression in R - Step 2_en.srt

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021 Logistic Regression in R - Step 3.mp4

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021 Logistic Regression in R - Step 3_en.srt

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022 Logistic Regression in R - Step 4.mp4

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022 Logistic Regression in R - Step 4_en.srt

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023 Warning - Update.html

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024 Logistic Regression in R - Step 5a.mp4

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024 Logistic Regression in R - Step 5a_en.srt

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025 Logistic Regression in R - Step 5b.mp4

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025 Logistic Regression in R - Step 5b_en.srt

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026 Logistic Regression in R - Step 5c.mp4

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026 Logistic Regression in R - Step 5c_en.srt

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027 Logistic Regression in R - Step 5 (Colour-blind friendly image).html

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028 R Classification Template.mp4

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028 R Classification Template_en.srt

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029 Machine Learning Regression and Classification BONUS.html

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030 EXTRA CONTENT Logistic Regression Practical Case Study.html

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/17 - K-Nearest Neighbors (K-NN)/

001 K-Nearest Neighbor Intuition.mp4

11.0 MB

001 K-Nearest Neighbor Intuition_en.srt

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002 K-NN in Python - Step 1.mp4

36.7 MB

002 K-NN in Python - Step 1_en.srt

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003 K-NN in Python - Step 2.mp4

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003 K-NN in Python - Step 2_en.srt

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004 K-NN in Python - Step 3.mp4

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004 K-NN in Python - Step 3_en.srt

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005 K-NN in R - Step 1.mp4

42.5 MB

005 K-NN in R - Step 1_en.srt

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006 K-NN in R - Step 2.mp4

18.7 MB

006 K-NN in R - Step 2_en.srt

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007 K-NN in R - Step 3.mp4

37.5 MB

007 K-NN in R - Step 3_en.srt

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/18 - Support Vector Machine (SVM)/

001 SVM Intuition.mp4

21.1 MB

001 SVM Intuition_en.srt

15.5 KB

002 SVM in Python - Step 1.mp4

54.0 MB

002 SVM in Python - Step 1_en.srt

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003 SVM in Python - Step 2.mp4

39.5 MB

003 SVM in Python - Step 2_en.srt

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004 SVM in Python - Step 3.mp4

12.3 MB

004 SVM in Python - Step 3_en.srt

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005 SVM in R - Step 1.mp4

54.4 MB

005 SVM in R - Step 1_en.srt

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005 SVM.zip

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006 SVM in R - Step 2.mp4

44.7 MB

006 SVM in R - Step 2_en.srt

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/19 - Kernel SVM/

001 Kernel SVM Intuition.mp4

7.2 MB

001 Kernel SVM Intuition_en.srt

5.9 KB

002 Mapping to a higher dimension.mp4

33.4 MB

002 Mapping to a higher dimension_en.srt

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003 The Kernel Trick.mp4

35.2 MB

003 The Kernel Trick_en.srt

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004 Types of Kernel Functions.mp4

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004 Types of Kernel Functions_en.srt

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005 Non-Linear Kernel SVR (Advanced).mp4

28.8 MB

005 Non-Linear Kernel SVR (Advanced)_en.srt

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006 Kernel SVM in Python - Step 1.mp4

38.7 MB

006 Kernel SVM in Python - Step 1_en.srt

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007 Kernel SVM in Python - Step 2.mp4

37.2 MB

007 Kernel SVM in Python - Step 2_en.srt

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008 Kernel SVM in R - Step 1.mp4

58.0 MB

008 Kernel SVM in R - Step 1_en.srt

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009 Kernel SVM in R - Step 2.mp4

19.7 MB

009 Kernel SVM in R - Step 2_en.srt

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010 Kernel SVM in R - Step 3.mp4

39.2 MB

010 Kernel SVM in R - Step 3_en.srt

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/20 - Naive Bayes/

001 Bayes Theorem.mp4

152.7 MB

001 Bayes Theorem_en.srt

33.9 KB

002 Naive Bayes Intuition.mp4

60.2 MB

002 Naive Bayes Intuition_en.srt

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003 Naive Bayes Intuition (Challenge Reveal).mp4

12.4 MB

003 Naive Bayes Intuition (Challenge Reveal)_en.srt

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004 Naive Bayes Intuition (Extras).mp4

16.9 MB

004 Naive Bayes Intuition (Extras)_en.srt

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005 Naive Bayes in Python - Step 1.mp4

55.1 MB

005 Naive Bayes in Python - Step 1_en.srt

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006 Naive Bayes in Python - Step 2.mp4

44.1 MB

006 Naive Bayes in Python - Step 2_en.srt

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007 Naive Bayes in Python - Step 3.mp4

7.0 MB

007 Naive Bayes in Python - Step 3_en.srt

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008 Naive Bayes in R - Step 1.mp4

19.2 MB

008 Naive Bayes in R - Step 1_en.srt

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009 Naive Bayes in R - Step 2.mp4

23.8 MB

009 Naive Bayes in R - Step 2_en.srt

8.3 KB

010 Naive Bayes in R - Step 3.mp4

28.5 MB

010 Naive Bayes in R - Step 3_en.srt

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/21 - Decision Tree Classification/

001 Decision Tree Classification Intuition.mp4

18.6 MB

001 Decision Tree Classification Intuition_en.srt

12.7 KB

002 Decision Tree Classification in Python - Step 1.mp4

39.7 MB

002 Decision Tree Classification in Python - Step 1_en.srt

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003 Decision Tree Classification in Python - Step 2.mp4

35.3 MB

003 Decision Tree Classification in Python - Step 2_en.srt

12.2 KB

004 Decision Tree Classification in R - Step 1.mp4

60.6 MB

004 Decision Tree Classification in R - Step 1_en.srt

10.7 KB

005 Decision Tree Classification in R - Step 2.mp4

44.9 MB

005 Decision Tree Classification in R - Step 2_en.srt

10.4 KB

006 Decision Tree Classification in R - Step 3.mp4

22.8 MB

006 Decision Tree Classification in R - Step 3_en.srt

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/22 - Random Forest Classification/

001 Random Forest Classification Intuition.mp4

43.6 MB

001 Random Forest Classification Intuition_en.srt

7.0 KB

002 Random Forest Classification in Python - Step 1.mp4

36.6 MB

002 Random Forest Classification in Python - Step 1_en.srt

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003 Random Forest Classification in Python - Step 2.mp4

34.4 MB

003 Random Forest Classification in Python - Step 2_en.srt

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004 Random Forest Classification in R - Step 1.mp4

25.2 MB

004 Random Forest Classification in R - Step 1_en.srt

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005 Random Forest Classification in R - Step 2.mp4

40.9 MB

005 Random Forest Classification in R - Step 2_en.srt

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006 Random Forest Classification in R - Step 3.mp4

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006 Random Forest Classification in R - Step 3_en.srt

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/23 - Classification Model Selection in Python/

001 Machine-Learning-A-Z-Model-Selection.zip

163.9 KB

001 Make sure you have this Model Selection folder ready.html

1.0 KB

002 Confusion Matrix & Accuracy Ratios.mp4

30.1 MB

002 Confusion Matrix & Accuracy Ratios_en.srt

8.6 KB

003 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 1.mp4

22.1 MB

003 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 1_en.srt

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004 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 2.mp4

34.6 MB

004 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 2_en.srt

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005 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 3.mp4

22.7 MB

005 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 3_en.srt

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006 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 4.mp4

8.5 MB

006 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 4_en.srt

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/24 - Evaluating Classification Models Performance/

001 False Positives & False Negatives.mp4

20.6 MB

001 False Positives & False Negatives_en.srt

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002 Accuracy Paradox.mp4

4.4 MB

002 Accuracy Paradox_en.srt

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003 CAP Curve.mp4

19.9 MB

003 CAP Curve_en.srt

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004 CAP Curve Analysis.mp4

15.1 MB

004 CAP Curve Analysis_en.srt

9.1 KB

005 Classification-Pros-Cons.pdf

30.0 KB

005 Conclusion of Part 3 - Classification.html

3.4 KB

[CourseClub.Me].url

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/25 - -------------------- Part 4 Clustering --------------------/

001 Welcome to Part 4 - Clustering.html

0.8 KB

/26 - K-Means Clustering/

001 What is Clustering (Supervised vs Unsupervised Learning).mp4

16.2 MB

001 What is Clustering (Supervised vs Unsupervised Learning)_en.srt

6.7 KB

002 K-Means Clustering Intuition.mp4

4.3 MB

002 K-Means Clustering Intuition_en.srt

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003 The Elbow Method.mp4

7.9 MB

003 The Elbow Method_en.srt

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004 K-Means++.mp4

19.6 MB

004 K-Means++_en.srt

8.8 KB

005 K-Means Clustering in Python - Step 1a.mp4

11.1 MB

005 K-Means Clustering in Python - Step 1a_en.srt

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006 K-Means Clustering in Python - Step 1b.mp4

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006 K-Means Clustering in Python - Step 1b_en.srt

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007 K-Means Clustering in Python - Step 2a.mp4

14.2 MB

007 K-Means Clustering in Python - Step 2a_en.srt

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008 K-Means Clustering in Python - Step 2b.mp4

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008 K-Means Clustering in Python - Step 2b_en.srt

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009 K-Means Clustering in Python - Step 3a.mp4

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009 K-Means Clustering in Python - Step 3a_en.srt

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010 K-Means Clustering in Python - Step 3b.mp4

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010 K-Means Clustering in Python - Step 3b_en.srt

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011 K-Means Clustering in Python - Step 3c.mp4

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011 K-Means Clustering in Python - Step 3c_en.srt

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012 K-Means Clustering in Python - Step 4.mp4

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012 K-Means Clustering in Python - Step 4_en.srt

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013 K-Means Clustering in Python - Step 5a.mp4

15.8 MB

013 K-Means Clustering in Python - Step 5a_en.srt

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014 K-Means Clustering in Python - Step 5b.mp4

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014 K-Means Clustering in Python - Step 5b_en.srt

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015 K-Means Clustering in Python - Step 5c.mp4

28.0 MB

015 K-Means Clustering in Python - Step 5c_en.srt

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016 K-Means Clustering in R - Step 1.mp4

15.9 MB

016 K-Means Clustering in R - Step 1_en.srt

11.6 KB

017 K-Means Clustering in R - Step 2.mp4

29.0 MB

017 K-Means Clustering in R - Step 2_en.srt

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/27 - Hierarchical Clustering/

001 Hierarchical Clustering Intuition.mp4

38.0 MB

001 Hierarchical Clustering Intuition_en.srt

14.4 KB

002 Hierarchical Clustering How Dendrograms Work.mp4

17.2 MB

002 Hierarchical Clustering How Dendrograms Work_en.srt

14.1 KB

003 Hierarchical Clustering Using Dendrograms.mp4

26.4 MB

003 Hierarchical Clustering Using Dendrograms_en.srt

17.4 KB

004 Hierarchical Clustering in Python - Step 1.mp4

21.4 MB

004 Hierarchical Clustering in Python - Step 1_en.srt

11.4 KB

005 Hierarchical Clustering in Python - Step 2a.mp4

11.4 MB

005 Hierarchical Clustering in Python - Step 2a_en.srt

8.8 KB

006 Hierarchical Clustering in Python - Step 2b.mp4

23.4 MB

006 Hierarchical Clustering in Python - Step 2b_en.srt

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007 Hierarchical Clustering in Python - Step 2c.mp4

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007 Hierarchical Clustering in Python - Step 2c_en.srt

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008 Hierarchical Clustering in Python - Step 3a.mp4

17.9 MB

008 Hierarchical Clustering in Python - Step 3a_en.srt

9.8 KB

009 Hierarchical Clustering in Python - Step 3b.mp4

15.9 MB

009 Hierarchical Clustering in Python - Step 3b_en.srt

10.5 KB

010 Hierarchical Clustering in R - Step 1.mp4

8.1 MB

010 Hierarchical Clustering in R - Step 1_en.srt

6.2 KB

011 Hierarchical Clustering in R - Step 2.mp4

13.6 MB

011 Hierarchical Clustering in R - Step 2_en.srt

8.0 KB

012 Hierarchical Clustering in R - Step 3.mp4

32.9 MB

012 Hierarchical Clustering in R - Step 3_en.srt

4.7 KB

013 Hierarchical Clustering in R - Step 4.mp4

20.3 MB

013 Hierarchical Clustering in R - Step 4_en.srt

3.8 KB

014 Hierarchical Clustering in R - Step 5.mp4

14.5 MB

014 Hierarchical Clustering in R - Step 5_en.srt

4.0 KB

015 Clustering-Pros-Cons.pdf

26.4 KB

015 Conclusion of Part 4 - Clustering.html

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/28 - -------------------- Part 5 Association Rule Learning --------------------/

001 Welcome to Part 5 - Association Rule Learning.html

0.5 KB

/29 - Apriori/

001 Apriori Intuition.mp4

58.9 MB

001 Apriori Intuition_en.srt

32.5 KB

002 Apriori in Python - Step 1.mp4

61.2 MB

002 Apriori in Python - Step 1_en.srt

17.8 KB

003 Apriori in Python - Step 2.mp4

86.2 MB

003 Apriori in Python - Step 2_en.srt

31.9 KB

004 Apriori in Python - Step 3.mp4

41.4 MB

004 Apriori in Python - Step 3_en.srt

23.9 KB

005 Apriori in Python - Step 4.mp4

122.4 MB

005 Apriori in Python - Step 4_en.srt

36.6 KB

006 Apriori in R - Step 1.mp4

77.5 MB

006 Apriori in R - Step 1_en.srt

30.6 KB

007 Apriori in R - Step 2.mp4

101.3 MB

007 Apriori in R - Step 2_en.srt

22.7 KB

008 Apriori in R - Step 3.mp4

169.5 MB

008 Apriori in R - Step 3_en.srt

30.7 KB

/30 - Eclat/

001 Eclat Intuition.mp4

25.4 MB

001 Eclat Intuition_en.srt

10.4 KB

002 Eclat in Python.mp4

58.9 MB

002 Eclat in Python_en.srt

23.1 KB

003 Eclat in R.mp4

68.5 MB

003 Eclat in R_en.srt

15.6 KB

003 Eclat.zip

49.7 KB

/31 - -------------------- Part 6 Reinforcement Learning --------------------/

001 Welcome to Part 6 - Reinforcement Learning.html

1.6 KB

/32 - Upper Confidence Bound (UCB)/

001 The Multi-Armed Bandit Problem.mp4

101.1 MB

001 The Multi-Armed Bandit Problem_en.srt

27.8 KB

002 Upper Confidence Bound (UCB) Intuition.mp4

83.1 MB

002 Upper Confidence Bound (UCB) Intuition_en.srt

27.5 KB

003 Upper Confidence Bound in Python - Step 1.mp4

46.8 MB

003 Upper Confidence Bound in Python - Step 1_en.srt

26.2 KB

004 Upper Confidence Bound in Python - Step 2.mp4

9.4 MB

004 Upper Confidence Bound in Python - Step 2_en.srt

7.9 KB

005 Upper Confidence Bound in Python - Step 3.mp4

20.0 MB

005 Upper Confidence Bound in Python - Step 3_en.srt

13.9 KB

006 Upper Confidence Bound in Python - Step 4.mp4

43.7 MB

006 Upper Confidence Bound in Python - Step 4_en.srt

30.7 KB

007 Upper Confidence Bound in Python - Step 5.mp4

17.6 MB

007 Upper Confidence Bound in Python - Step 5_en.srt

12.5 KB

008 Upper Confidence Bound in Python - Step 6.mp4

20.0 MB

008 Upper Confidence Bound in Python - Step 6_en.srt

13.8 KB

009 Upper Confidence Bound in Python - Step 7.mp4

21.5 MB

009 Upper Confidence Bound in Python - Step 7_en.srt

14.8 KB

010 Upper Confidence Bound in R - Step 1.mp4

35.6 MB

010 Upper Confidence Bound in R - Step 1_en.srt

26.7 KB

011 Upper Confidence Bound in R - Step 2.mp4

79.9 MB

011 Upper Confidence Bound in R - Step 2_en.srt

27.7 KB

012 Upper Confidence Bound in R - Step 3.mp4

103.8 MB

012 Upper Confidence Bound in R - Step 3_en.srt

31.4 KB

013 Upper Confidence Bound in R - Step 4.mp4

8.9 MB

013 Upper Confidence Bound in R - Step 4_en.srt

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/33 - Thompson Sampling/

001 Thompson Sampling Intuition.mp4

51.1 MB

001 Thompson Sampling Intuition_en.srt

35.8 KB

002 Algorithm Comparison UCB vs Thompson Sampling.mp4

18.1 MB

002 Algorithm Comparison UCB vs Thompson Sampling_en.srt

14.4 KB

003 Thompson Sampling in Python - Step 1.mp4

13.6 MB

003 Thompson Sampling in Python - Step 1_en.srt

11.9 KB

004 Thompson Sampling in Python - Step 2.mp4

35.9 MB

004 Thompson Sampling in Python - Step 2_en.srt

22.9 KB

005 Thompson Sampling in Python - Step 3.mp4

42.2 MB

005 Thompson Sampling in Python - Step 3_en.srt

25.0 KB

006 Thompson Sampling in Python - Step 4.mp4

21.7 MB

006 Thompson Sampling in Python - Step 4_en.srt

13.4 KB

007 Additional Resource for this Section.html

2.3 KB

008 Thompson Sampling in R - Step 1.mp4

62.2 MB

008 Thompson Sampling in R - Step 1_en.srt

35.3 KB

009 Thompson Sampling in R - Step 2.mp4

10.2 MB

009 Thompson Sampling in R - Step 2_en.srt

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/34 - -------------------- Part 7 Natural Language Processing --------------------/

001 Welcome to Part 7 - Natural Language Processing.html

1.7 KB

002 NLP Intuition.mp4

5.4 MB

002 NLP Intuition_en.srt

5.6 KB

003 Types of Natural Language Processing.mp4

8.5 MB

003 Types of Natural Language Processing_en.srt

7.1 KB

004 Classical vs Deep Learning Models.mp4

88.0 MB

004 Classical vs Deep Learning Models_en.srt

19.9 KB

005 Bag-Of-Words Model.mp4

39.8 MB

005 Bag-Of-Words Model_en.srt

31.0 KB

006 Natural Language Processing in Python - Step 1.mp4

15.6 MB

006 Natural Language Processing in Python - Step 1_en.srt

14.4 KB

007 Natural Language Processing in Python - Step 2.mp4

36.5 MB

007 Natural Language Processing in Python - Step 2_en.srt

13.0 KB

008 Natural Language Processing in Python - Step 3.mp4

29.6 MB

008 Natural Language Processing in Python - Step 3_en.srt

25.0 KB

009 Natural Language Processing in Python - Step 4.mp4

37.0 MB

009 Natural Language Processing in Python - Step 4_en.srt

20.1 KB

010 Natural Language Processing in Python - Step 5.mp4

86.5 MB

010 Natural Language Processing in Python - Step 5_en.srt

32.4 KB

011 Natural Language Processing in Python - Step 6.mp4

47.3 MB

011 Natural Language Processing in Python - Step 6_en.srt

19.2 KB

012 Natural Language Processing in Python - BONUS.html

1.1 KB

013 Homework Challenge.html

1.4 KB

014 Natural Language Processing in R - Step 1.mp4

53.0 MB

014 Natural Language Processing in R - Step 1_en.srt

30.1 KB

015 Warning - Update.html

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016 Natural Language Processing in R - Step 2.mp4

24.9 MB

016 Natural Language Processing in R - Step 2_en.srt

17.8 KB

017 Natural Language Processing in R - Step 3.mp4

19.5 MB

017 Natural Language Processing in R - Step 3_en.srt

12.4 KB

018 Natural Language Processing in R - Step 4.mp4

9.2 MB

018 Natural Language Processing in R - Step 4_en.srt

5.6 KB

019 Natural Language Processing in R - Step 5.mp4

6.5 MB

019 Natural Language Processing in R - Step 5_en.srt

4.0 KB

020 Natural Language Processing in R - Step 6.mp4

18.2 MB

020 Natural Language Processing in R - Step 6_en.srt

10.7 KB

021 Natural Language Processing in R - Step 7.mp4

11.1 MB

021 Natural Language Processing in R - Step 7_en.srt

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022 Natural Language Processing in R - Step 8.mp4

17.5 MB

022 Natural Language Processing in R - Step 8_en.srt

10.4 KB

023 Natural Language Processing in R - Step 9.mp4

41.2 MB

023 Natural Language Processing in R - Step 9_en.srt

24.7 KB

024 Natural Language Processing in R - Step 10.mp4

69.7 MB

024 Natural Language Processing in R - Step 10_en.srt

32.5 KB

025 Homework Challenge.html

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/35 - -------------------- Part 8 Deep Learning --------------------/

001 Welcome to Part 8 - Deep Learning.html

0.9 KB

002 What is Deep Learning.mp4

107.9 MB

002 What is Deep Learning_en.srt

24.9 KB

/36 - Artificial Neural Networks/

001 Plan of attack.mp4

5.0 MB

001 Plan of attack_en.srt

5.2 KB

002 The Neuron.mp4

46.2 MB

002 The Neuron_en.srt

31.9 KB

003 The Activation Function.mp4

18.1 MB

003 The Activation Function_en.srt

15.9 KB

004 How do Neural Networks work.mp4

70.5 MB

004 How do Neural Networks work_en.srt

25.2 KB

005 How do Neural Networks learn.mp4

45.4 MB

005 How do Neural Networks learn_en.srt

24.7 KB

006 Gradient Descent.mp4

26.9 MB

006 Gradient Descent_en.srt

17.8 KB

007 Stochastic Gradient Descent.mp4

28.1 MB

007 Stochastic Gradient Descent_en.srt

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008 Backpropagation.mp4

14.7 MB

008 Backpropagation_en.srt

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009 Business Problem Description.mp4

45.8 MB

009 Business Problem Description_en.srt

9.9 KB

010 ANN in Python - Step 1.mp4

53.3 MB

010 ANN in Python - Step 1_en.srt

20.4 KB

011 ANN in Python - Step 2.mp4

88.6 MB

011 ANN in Python - Step 2_en.srt

35.0 KB

012 ANN in Python - Step 3.mp4

40.4 MB

012 ANN in Python - Step 3_en.srt

27.5 KB

013 ANN in Python - Step 4.mp4

33.4 MB

013 ANN in Python - Step 4_en.srt

22.7 KB

014 ANN in Python - Step 5.mp4

78.9 MB

014 ANN in Python - Step 5_en.srt

30.9 KB

015 ANN in R - Step 1.mp4

139.2 MB

015 ANN in R - Step 1_en.srt

33.3 KB

016 ANN in R - Step 2.mp4

26.2 MB

016 ANN in R - Step 2_en.srt

12.7 KB

017 ANN in R - Step 3.mp4

121.3 MB

017 ANN in R - Step 3_en.srt

23.7 KB

018 ANN in R - Step 4 (Last step).mp4

57.2 MB

018 ANN in R - Step 4 (Last step)_en.srt

25.6 KB

019 Deep Learning Additional Content.html

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020 EXTRA CONTENT ANN Case Study.html

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/37 - Convolutional Neural Networks/

001 Plan of attack.mp4

6.5 MB

001 Plan of attack_en.srt

7.1 KB

001 dataset.zip

232.0 MB

002 What are convolutional neural networks.mp4

74.5 MB

002 What are convolutional neural networks_en.srt

29.4 KB

003 Step 1 - Convolution Operation.mp4

68.8 MB

003 Step 1 - Convolution Operation_en.srt

30.1 KB

004 Step 1(b) - ReLU Layer.mp4

21.6 MB

004 Step 1(b) - ReLU Layer_en.srt

11.6 KB

005 Step 2 - Pooling.mp4

91.7 MB

005 Step 2 - Pooling_en.srt

28.6 KB

006 Step 3 - Flattening.mp4

3.3 MB

006 Step 3 - Flattening_en.srt

3.6 KB

007 Step 4 - Full Connection.mp4

61.4 MB

007 Step 4 - Full Connection_en.srt

36.3 KB

008 Summary.mp4

11.3 MB

008 Summary_en.srt

7.8 KB

009 Softmax & Cross-Entropy.mp4

44.2 MB

009 Softmax & Cross-Entropy_en.srt

38.0 KB

010 CNN in Python - Step 1.mp4

33.4 MB

010 CNN in Python - Step 1_en.srt

21.5 KB

011 CNN in Python - Step 2.mp4

104.9 MB

011 CNN in Python - Step 2_en.srt

34.4 KB

012 CNN in Python - Step 3.mp4

67.4 MB

012 CNN in Python - Step 3_en.srt

32.9 KB

013 CNN in Python - Step 4.mp4

23.8 MB

013 CNN in Python - Step 4_en.srt

13.9 KB

014 CNN in Python - Step 5.mp4

89.0 MB

014 CNN in Python - Step 5_en.srt

27.2 KB

015 CNN in Python - FINAL DEMO!.mp4

117.5 MB

015 CNN in Python - FINAL DEMO!_en.srt

39.5 KB

016 Deep Learning Additional Content #2.html

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[CourseClub.Me].url

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0.0 KB

/38 - -------------------- Part 9 Dimensionality Reduction --------------------/

001 Welcome to Part 9 - Dimensionality Reduction.html

1.4 KB

/39 - Principal Component Analysis (PCA)/

001 Principal Component Analysis (PCA) Intuition.mp4

22.0 MB

001 Principal Component Analysis (PCA) Intuition_en.srt

6.6 KB

002 PCA in Python - Step 1.mp4

90.2 MB

002 PCA in Python - Step 1_en.srt

30.8 KB

003 PCA in Python - Step 2.mp4

21.8 MB

003 PCA in Python - Step 2_en.srt

10.7 KB

004 PCA in R - Step 1.mp4

105.5 MB

004 PCA in R - Step 1_en.srt

24.5 KB

005 PCA in R - Step 2.mp4

48.8 MB

005 PCA in R - Step 2_en.srt

21.5 KB

006 PCA in R - Step 3.mp4

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006 PCA in R - Step 3_en.srt

24.9 KB

/40 - Linear Discriminant Analysis (LDA)/

001 Linear Discriminant Analysis (LDA) Intuition.mp4

15.8 MB

001 Linear Discriminant Analysis (LDA) Intuition_en.srt

6.7 KB

002 LDA in Python.mp4

79.1 MB

002 LDA in Python_en.srt

27.0 KB

003 LDA in R.mp4

98.2 MB

003 LDA in R_en.srt

36.4 KB

/41 - Kernel PCA/

001 Kernel PCA in Python.mp4

59.7 MB

001 Kernel PCA in Python_en.srt

19.9 KB

002 Kernel PCA in R.mp4

239.9 MB

002 Kernel PCA in R_en.srt

38.2 KB

/42 - -------------------- Part 10 Model Selection & Boosting --------------------/

001 Welcome to Part 10 - Model Selection & Boosting.html

0.9 KB

/43 - Model Selection/

001 k-Fold Cross Validation in Python.mp4

65.1 MB

001 k-Fold Cross Validation in Python_en.srt

33.4 KB

002 Grid Search in Python.mp4

120.0 MB

002 Grid Search in Python_en.srt

39.4 KB

003 k-Fold Cross Validation in R.mp4

55.9 MB

003 k-Fold Cross Validation in R_en.srt

36.2 KB

004 Grid Search in R.mp4

52.5 MB

004 Grid Search in R_en.srt

26.6 KB

/44 - XGBoost/

001 XGBoost in Python.mp4

88.3 MB

001 XGBoost in Python_en.srt

26.0 KB

002 Model Selection and Boosting Additional Content.html

1.2 KB

003 XGBoost in R.mp4

72.7 MB

003 XGBoost in R_en.srt

31.8 KB

/45 - Exclusive Offer/

001 OUR SPECIAL OFFER.html

4.6 KB

/46 - Annex Logistic Regression (Long Explanation)/

001 Logistic Regression Intuition.mp4

34.0 MB

001 Logistic Regression Intuition_en.srt

32.2 KB

[CourseClub.Me].url

0.1 KB

[GigaCourse.Com].url

0.0 KB

/

[CourseClub.Me].url

0.1 KB

[GigaCourse.Com].url

0.0 KB

 

Total files 748


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