Udemy Machine Learning A ZTM AI Python R ChatGPT Bonus 2023
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Udemy Machine Learning A ZTM AI Python R ChatGPT Bonus 2023
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Udemy Machine Learning A ZTM AI Python R ChatGPT Bonus 2023
[CourseClub.Me].url -
[FreeCourseSite.com].url -
[GigaCourse.Com].url -
001 Welcome Challenge!.html -
002 Machine Learning Demo - Get Excited!.mp4 -
002 Machine Learning Demo - Get Excited!_en.srt -
003 Get all the Datasets, Codes and Slides here.html -
004 How to use the ML A-Z folder & Google Colab.mp4 -
004 How to use the ML A-Z folder & Google Colab_en.srt -
005 Installing R and R Studio (Mac, Linux & Windows).mp4 -
005 Installing R and R Studio (Mac, Linux & Windows)_en.srt -
006 BONUS Use ChatGPT to Boost your ML Skills.html -
001 Welcome to Part 1 - Data Preprocessing.html -
002 The Machine Learning process.mp4 -
002 The Machine Learning process_en.srt -
003 Splitting the data into a Training and Test set.mp4 -
003 Splitting the data into a Training and Test set_en.srt -
004 Feature Scaling.mp4 -
004 Feature Scaling_en.srt -
001 Getting Started - Step 1.mp4 -
001 Getting Started - Step 1_en.srt -
002 Getting Started - Step 2.mp4 -
002 Getting Started - Step 2_en.srt -
003 Importing the Libraries.mp4 -
003 Importing the Libraries_en.srt -
004 Importing the Dataset - Step 1.mp4 -
004 Importing the Dataset - Step 1_en.srt -
005 Importing the Dataset - Step 2.mp4 -
005 Importing the Dataset - Step 2_en.srt -
006 Importing the Dataset - Step 3.mp4 -
006 Importing the Dataset - Step 3_en.srt -
007 For Python learners, summary of Object-oriented programming classes & objects.html -
008 Taking care of Missing Data - Step 1.mp4 -
008 Taking care of Missing Data - Step 1_en.srt -
009 Taking care of Missing Data - Step 2.mp4 -
009 Taking care of Missing Data - Step 2_en.srt -
010 Encoding Categorical Data - Step 1.mp4 -
010 Encoding Categorical Data - Step 1_en.srt -
011 Encoding Categorical Data - Step 2.mp4 -
011 Encoding Categorical Data - Step 2_en.srt -
012 Encoding Categorical Data - Step 3.mp4 -
012 Encoding Categorical Data - Step 3_en.srt -
013 Splitting the dataset into the Training set and Test set - Step 1.mp4 -
013 Splitting the dataset into the Training set and Test set - Step 1_en.srt -
014 Splitting the dataset into the Training set and Test set - Step 2.mp4 -
014 Splitting the dataset into the Training set and Test set - Step 2_en.srt -
015 Splitting the dataset into the Training set and Test set - Step 3.mp4 -
015 Splitting the dataset into the Training set and Test set - Step 3_en.srt -
016 Feature Scaling - Step 1.mp4 -
016 Feature Scaling - Step 1_en.srt -
017 Feature Scaling - Step 2.mp4 -
017 Feature Scaling - Step 2_en.srt -
018 Feature Scaling - Step 3.mp4 -
018 Feature Scaling - Step 3_en.srt -
019 Feature Scaling - Step 4.mp4 -
019 Feature Scaling - Step 4_en.srt -
001 Getting Started.mp4 -
001 Getting Started_en.srt -
002 Dataset Description.mp4 -
002 Dataset Description_en.srt -
003 Importing the Dataset.mp4 -
003 Importing the Dataset_en.srt -
004 Taking care of Missing Data.mp4 -
004 Taking care of Missing Data_en.srt -
005 Encoding Categorical Data.mp4 -
005 Encoding Categorical Data_en.srt -
006 Splitting the dataset into the Training set and Test set - Step 1.mp4 -
006 Splitting the dataset into the Training set and Test set - Step 1_en.srt -
007 Splitting the dataset into the Training set and Test set - Step 2.mp4 -
007 Splitting the dataset into the Training set and Test set - Step 2_en.srt -
008 Feature Scaling - Step 1.mp4 -
008 Feature Scaling - Step 1_en.srt -
009 Feature Scaling - Step 2.mp4 -
009 Feature Scaling - Step 2_en.srt -
010 Data Preprocessing Template.mp4 -
010 Data Preprocessing Template_en.srt -
[CourseClub.Me].url -
[FreeCourseSite.com].url -
[GigaCourse.Com].url -
001 Welcome to Part 2 - Regression.html -
001 Simple Linear Regression Intuition.mp4 -
001 Simple Linear Regression Intuition_en.srt -
002 Ordinary Least Squares.mp4 -
002 Ordinary Least Squares_en.srt -
003 Simple Linear Regression in Python - Step 1a.mp4 -
003 Simple Linear Regression in Python - Step 1a_en.srt -
004 Simple Linear Regression in Python - Step 1b.mp4 -
004 Simple Linear Regression in Python - Step 1b_en.srt -
005 Simple Linear Regression in Python - Step 2a.mp4 -
005 Simple Linear Regression in Python - Step 2a_en.srt -
006 Simple Linear Regression in Python - Step 2b.mp4 -
006 Simple Linear Regression in Python - Step 2b_en.srt -
007 Simple Linear Regression in Python - Step 3.mp4 -
007 Simple Linear Regression in Python - Step 3_en.srt -
008 Simple Linear Regression in Python - Step 4a.mp4 -
008 Simple Linear Regression in Python - Step 4a_en.srt -
009 Simple Linear Regression in Python - Step 4b.mp4 -
009 Simple Linear Regression in Python - Step 4b_en.srt -
010 Simple Linear Regression in Python - Additional Lecture.html -
011 Simple Linear Regression in R - Step 1.mp4 -
011 Simple Linear Regression in R - Step 1_en.srt -
012 Simple Linear Regression in R - Step 2.mp4 -
012 Simple Linear Regression in R - Step 2_en.srt -
013 Simple Linear Regression in R - Step 3.mp4 -
013 Simple Linear Regression in R - Step 3_en.srt -
014 Simple Linear Regression in R - Step 4a.mp4 -
014 Simple Linear Regression in R - Step 4a_en.srt -
015 Simple Linear Regression in R - Step 4b.mp4 -
015 Simple Linear Regression in R - Step 4b_en.srt -
001 Dataset + Business Problem Description.mp4 -
001 Dataset + Business Problem Description_en.srt -
002 Multiple Linear Regression Intuition.mp4 -
002 Multiple Linear Regression Intuition_en.srt -
003 Assumptions of Linear Regression.mp4 -
003 Assumptions of Linear Regression_en.srt -
003 Download-the-PDF.url -
004 Multiple Linear Regression Intuition - Step 3.mp4 -
004 Multiple Linear Regression Intuition - Step 3_en.srt -
005 Multiple Linear Regression Intuition - Step 4.mp4 -
005 Multiple Linear Regression Intuition - Step 4_en.srt -
006 Understanding the P-Value.mp4 -
006 Understanding the P-Value_en.srt -
007 Multiple Linear Regression Intuition - Step 5.mp4 -
007 Multiple Linear Regression Intuition - Step 5_en.srt -
008 Multiple Linear Regression in Python - Step 1a.mp4 -
008 Multiple Linear Regression in Python - Step 1a_en.srt -
009 Multiple Linear Regression in Python - Step 1b.mp4 -
009 Multiple Linear Regression in Python - Step 1b_en.srt -
010 Multiple Linear Regression in Python - Step 2a.mp4 -
010 Multiple Linear Regression in Python - Step 2a_en.srt -
011 Multiple Linear Regression in Python - Step 2b.mp4 -
011 Multiple Linear Regression in Python - Step 2b_en.srt -
012 Multiple Linear Regression in Python - Step 3a.mp4 -
012 Multiple Linear Regression in Python - Step 3a_en.srt -
013 Multiple Linear Regression in Python - Step 3b.mp4 -
013 Multiple Linear Regression in Python - Step 3b_en.srt -
014 Multiple Linear Regression in Python - Step 4a.mp4 -
014 Multiple Linear Regression in Python - Step 4a_en.srt -
015 Multiple Linear Regression in Python - Step 4b.mp4 -
015 Multiple Linear Regression in Python - Step 4b_en.srt -
016 Multiple Linear Regression in Python - Backward Elimination.html -
017 Multiple Linear Regression in Python - EXTRA CONTENT.html -
018 Multiple Linear Regression in R - Step 1a.mp4 -
018 Multiple Linear Regression in R - Step 1a_en.srt -
019 Multiple Linear Regression in R - Step 1b.mp4 -
019 Multiple Linear Regression in R - Step 1b_en.srt -
020 Multiple Linear Regression in R - Step 2a.mp4 -
020 Multiple Linear Regression in R - Step 2a_en.srt -
021 Multiple Linear Regression in R - Step 2b.mp4 -
021 Multiple Linear Regression in R - Step 2b_en.srt -
022 Multiple Linear Regression in R - Step 3.mp4 -
022 Multiple Linear Regression in R - Step 3_en.srt -
023 Multiple Linear Regression in R - Backward Elimination - HOMEWORK !.mp4 -
023 Multiple Linear Regression in R - Backward Elimination - HOMEWORK !_en.srt -
024 Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp4 -
024 Multiple Linear Regression in R - Backward Elimination - Homework Solution_en.srt -
025 Multiple Linear Regression in R - Automatic Backward Elimination.html -
external-links.txt -
001 Polynomial Regression Intuition.mp4 -
001 Polynomial Regression Intuition_en.srt -
002 Polynomial Regression in Python - Step 1a.mp4 -
002 Polynomial Regression in Python - Step 1a_en.srt -
003 Polynomial Regression in Python - Step 1b.mp4 -
003 Polynomial Regression in Python - Step 1b_en.srt -
004 Polynomial Regression in Python - Step 2a.mp4 -
004 Polynomial Regression in Python - Step 2a_en.srt -
005 Polynomial Regression in Python - Step 2b.mp4 -
005 Polynomial Regression in Python - Step 2b_en.srt -
006 Polynomial Regression in Python - Step 3a.mp4 -
006 Polynomial Regression in Python - Step 3a_en.srt -
007 Polynomial Regression in Python - Step 3b.mp4 -
007 Polynomial Regression in Python - Step 3b_en.srt -
008 Polynomial Regression in Python - Step 4a.mp4 -
008 Polynomial Regression in Python - Step 4a_en.srt -
009 Polynomial Regression in Python - Step 4b.mp4 -
009 Polynomial Regression in Python - Step 4b_en.srt -
010 Polynomial Regression in R - Step 1a.mp4 -
010 Polynomial Regression in R - Step 1a_en.srt -
011 Polynomial Regression in R - Step 1b.mp4 -
011 Polynomial Regression in R - Step 1b_en.srt -
012 Polynomial Regression in R - Step 2a.mp4 -
012 Polynomial Regression in R - Step 2a_en.srt -
013 Polynomial Regression in R - Step 2b.mp4 -
013 Polynomial Regression in R - Step 2b_en.srt -
014 Polynomial Regression in R - Step 3a.mp4 -
014 Polynomial Regression in R - Step 3a_en.srt -
015 Polynomial Regression in R - Step 3b.mp4 -
015 Polynomial Regression in R - Step 3b_en.srt -
016 Polynomial Regression in R - Step 3c.mp4 -
016 Polynomial Regression in R - Step 3c_en.srt -
017 Polynomial Regression in R - Step 4a.mp4 -
017 Polynomial Regression in R - Step 4a_en.srt -
018 Polynomial Regression in R - Step 4b.mp4 -
018 Polynomial Regression in R - Step 4b_en.srt -
019 R Regression Template - Step 1.mp4 -
019 R Regression Template - Step 1_en.srt -
020 R Regression Template - Step 2.mp4 -
020 R Regression Template - Step 2_en.srt -
001 SVR Intuition (Updated!).mp4 -
001 SVR Intuition (Updated!)_en.srt -
002 Heads-up on non-linear SVR.mp4 -
002 Heads-up on non-linear SVR_en.srt -
003 SVR in Python - Step 1a.mp4 -
003 SVR in Python - Step 1a_en.srt -
004 SVR in Python - Step 1b.mp4 -
004 SVR in Python - Step 1b_en.srt -
005 SVR in Python - Step 2a.mp4 -
005 SVR in Python - Step 2a_en.srt -
006 SVR in Python - Step 2b.mp4 -
006 SVR in Python - Step 2b_en.srt -
007 SVR in Python - Step 2c.mp4 -
007 SVR in Python - Step 2c_en.srt -
008 SVR in Python - Step 3.mp4 -
008 SVR in Python - Step 3_en.srt -
009 SVR in Python - Step 4.mp4 -
009 SVR in Python - Step 4_en.srt -
010 SVR in Python - Step 5a.mp4 -
010 SVR in Python - Step 5a_en.srt -
011 SVR in Python - Step 5b.mp4 -
011 SVR in Python - Step 5b_en.srt -
012 SVR in R - Step 1.mp4 -
012 SVR in R - Step 1_en.srt -
013 SVR in R - Step 2.mp4 -
013 SVR in R - Step 2_en.srt -
001 Decision Tree Regression Intuition.mp4 -
001 Decision Tree Regression Intuition_en.srt -
002 Decision Tree Regression in Python - Step 1a.mp4 -
002 Decision Tree Regression in Python - Step 1a_en.srt -
003 Decision Tree Regression in Python - Step 1b.mp4 -
003 Decision Tree Regression in Python - Step 1b_en.srt -
004 Decision Tree Regression in Python - Step 2.mp4 -
004 Decision Tree Regression in Python - Step 2_en.srt -
005 Decision Tree Regression in Python - Step 3.mp4 -
005 Decision Tree Regression in Python - Step 3_en.srt -
006 Decision Tree Regression in Python - Step 4.mp4 -
006 Decision Tree Regression in Python - Step 4_en.srt -
007 Decision Tree Regression in R - Step 1.mp4 -
007 Decision Tree Regression in R - Step 1_en.srt -
008 Decision Tree Regression in R - Step 2.mp4 -
008 Decision Tree Regression in R - Step 2_en.srt -
009 Decision Tree Regression in R - Step 3.mp4 -
009 Decision Tree Regression in R - Step 3_en.srt -
010 Decision Tree Regression in R - Step 4.mp4 -
010 Decision Tree Regression in R - Step 4_en.srt -
001 Random Forest Regression Intuition.mp4 -
001 Random Forest Regression Intuition_en.srt -
002 Random Forest Regression in Python - Step 1.mp4 -
002 Random Forest Regression in Python - Step 1_en.srt -
003 Random Forest Regression in Python - Step 2.mp4 -
003 Random Forest Regression in Python - Step 2_en.srt -
004 Random Forest Regression in R - Step 1.mp4 -
004 Random Forest Regression in R - Step 1_en.srt -
005 Random Forest Regression in R - Step 2.mp4 -
005 Random Forest Regression in R - Step 2_en.srt -
006 Random Forest Regression in R - Step 3.mp4 -
006 Random Forest Regression in R - Step 3_en.srt -
001 R-Squared Intuition.mp4 -
001 R-Squared Intuition_en.srt -
002 Adjusted R-Squared Intuition.mp4 -
002 Adjusted R-Squared Intuition_en.srt -
001 Machine-Learning-A-Z-Model-Selection.zip -
001 Make sure you have this Model Selection folder ready.html -
002 Preparation of the Regression Code Templates - Step 1.mp4 -
002 Preparation of the Regression Code Templates - Step 1_en.srt -
003 Preparation of the Regression Code Templates - Step 2.mp4 -
003 Preparation of the Regression Code Templates - Step 2_en.srt -
004 Preparation of the Regression Code Templates - Step 3.mp4 -
004 Preparation of the Regression Code Templates - Step 3_en.srt -
005 Preparation of the Regression Code Templates - Step 4.mp4 -
005 Preparation of the Regression Code Templates - Step 4_en.srt -
006 THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION! - STEP 1.mp4 -
006 THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION! - STEP 1_en.srt -
007 THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION! - STEP 2.mp4 -
007 THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION! - STEP 2_en.srt -
008 Conclusion of Part 2 - Regression.html -
008 Regression-Bonus.zip -
001 Evaluating Regression Models Performance - Homework's Final Part.mp4 -
001 Evaluating Regression Models Performance - Homework's Final Part_en.srt -
002 Interpreting Linear Regression Coefficients.mp4 -
002 Interpreting Linear Regression Coefficients_en.srt -
003 Conclusion of Part 2 - Regression.html -
003 Regression-Bonus.zip -
001 Welcome to Part 3 - Classification.html -
[CourseClub.Me].url -
[FreeCourseSite.com].url -
[GigaCourse.Com].url -
001 What is Classification.mp4 -
001 What is Classification_en.srt -
002 Logistic Regression Intuition.mp4 -
002 Logistic Regression Intuition_en.srt -
003 Maximum Likelihood.mp4 -
003 Maximum Likelihood_en.srt -
004 Logistic Regression in Python - Step 1a.mp4 -
004 Logistic Regression in Python - Step 1a_en.srt -
005 Logistic Regression in Python - Step 1b.mp4 -
005 Logistic Regression in Python - Step 1b_en.srt -
006 Logistic Regression in Python - Step 2a.mp4 -
006 Logistic Regression in Python - Step 2a_en.srt -
007 Logistic Regression in Python - Step 2b.mp4 -
007 Logistic Regression in Python - Step 2b_en.srt -
008 Logistic Regression in Python - Step 3a.mp4 -
008 Logistic Regression in Python - Step 3a_en.srt -
009 Logistic Regression in Python - Step 3b.mp4 -
009 Logistic Regression in Python - Step 3b_en.srt -
010 Logistic Regression in Python - Step 4a.mp4 -
010 Logistic Regression in Python - Step 4a_en.srt -
011 Logistic Regression in Python - Step 4b.mp4 -
011 Logistic Regression in Python - Step 4b_en.srt -
012 Logistic Regression in Python - Step 5.mp4 -
012 Logistic Regression in Python - Step 5_en.srt -
013 Logistic Regression in Python - Step 6a.mp4 -
013 Logistic Regression in Python - Step 6a_en.srt -
014 Logistic Regression in Python - Step 6b.mp4 -
014 Logistic Regression in Python - Step 6b_en.srt -
015 Logistic Regression in Python - Step 7a.mp4 -
015 Logistic Regression in Python - Step 7a_en.srt -
016 Logistic Regression in Python - Step 7b.mp4 -
016 Logistic Regression in Python - Step 7b_en.srt -
017 Logistic Regression in Python - Step 7c.mp4 -
017 Logistic Regression in Python - Step 7c_en.srt -
018 Logistic Regression in Python - Step 7 (Colour-blind friendly image).html -
019 Logistic Regression in R - Step 1.mp4 -
019 Logistic Regression in R - Step 1_en.srt -
020 Logistic Regression in R - Step 2.mp4 -
020 Logistic Regression in R - Step 2_en.srt -
021 Logistic Regression in R - Step 3.mp4 -
021 Logistic Regression in R - Step 3_en.srt -
022 Logistic Regression in R - Step 4.mp4 -
022 Logistic Regression in R - Step 4_en.srt -
023 Warning - Update.html -
024 Logistic Regression in R - Step 5a.mp4 -
024 Logistic Regression in R - Step 5a_en.srt -
025 Logistic Regression in R - Step 5b.mp4 -
025 Logistic Regression in R - Step 5b_en.srt -
026 Logistic Regression in R - Step 5c.mp4 -
026 Logistic Regression in R - Step 5c_en.srt -
027 Logistic Regression in R - Step 5 (Colour-blind friendly image).html -
028 R Classification Template.mp4 -
028 R Classification Template_en.srt -
029 Machine Learning Regression and Classification BONUS.html -
030 EXTRA CONTENT Logistic Regression Practical Case Study.html -
001 K-Nearest Neighbor Intuition.mp4 -
001 K-Nearest Neighbor Intuition_en.srt -
002 K-NN in Python - Step 1.mp4 -
002 K-NN in Python - Step 1_en.srt -
003 K-NN in Python - Step 2.mp4 -
003 K-NN in Python - Step 2_en.srt -
004 K-NN in Python - Step 3.mp4 -
004 K-NN in Python - Step 3_en.srt -
005 K-NN in R - Step 1.mp4 -
005 K-NN in R - Step 1_en.srt -
006 K-NN in R - Step 2.mp4 -
006 K-NN in R - Step 2_en.srt -
007 K-NN in R - Step 3.mp4 -
007 K-NN in R - Step 3_en.srt -
001 SVM Intuition.mp4 -
001 SVM Intuition_en.srt -
002 SVM in Python - Step 1.mp4 -
002 SVM in Python - Step 1_en.srt -
003 SVM in Python - Step 2.mp4 -
003 SVM in Python - Step 2_en.srt -
004 SVM in Python - Step 3.mp4 -
004 SVM in Python - Step 3_en.srt -
005 SVM in R - Step 1.mp4 -
005 SVM in R - Step 1_en.srt -
005 SVM.zip -
006 SVM in R - Step 2.mp4 -
006 SVM in R - Step 2_en.srt -
001 Kernel SVM Intuition.mp4 -
001 Kernel SVM Intuition_en.srt -
002 Mapping to a higher dimension.mp4 -
002 Mapping to a higher dimension_en.srt -
003 The Kernel Trick.mp4 -
003 The Kernel Trick_en.srt -
004 Types of Kernel Functions.mp4 -
004 Types of Kernel Functions_en.srt -
005 Non-Linear Kernel SVR (Advanced).mp4 -
005 Non-Linear Kernel SVR (Advanced)_en.srt -
006 Kernel SVM in Python - Step 1.mp4 -
006 Kernel SVM in Python - Step 1_en.srt -
007 Kernel SVM in Python - Step 2.mp4 -
007 Kernel SVM in Python - Step 2_en.srt -
008 Kernel SVM in R - Step 1.mp4 -
008 Kernel SVM in R - Step 1_en.srt -
009 Kernel SVM in R - Step 2.mp4 -
009 Kernel SVM in R - Step 2_en.srt -
010 Kernel SVM in R - Step 3.mp4 -
010 Kernel SVM in R - Step 3_en.srt -
001 Bayes Theorem.mp4 -
001 Bayes Theorem_en.srt -
002 Naive Bayes Intuition.mp4 -
002 Naive Bayes Intuition_en.srt -
003 Naive Bayes Intuition (Challenge Reveal).mp4 -
003 Naive Bayes Intuition (Challenge Reveal)_en.srt -
004 Naive Bayes Intuition (Extras).mp4 -
004 Naive Bayes Intuition (Extras)_en.srt -
005 Naive Bayes in Python - Step 1.mp4 -
005 Naive Bayes in Python - Step 1_en.srt -
006 Naive Bayes in Python - Step 2.mp4 -
006 Naive Bayes in Python - Step 2_en.srt -
007 Naive Bayes in Python - Step 3.mp4 -
007 Naive Bayes in Python - Step 3_en.srt -
008 Naive Bayes in R - Step 1.mp4 -
008 Naive Bayes in R - Step 1_en.srt -
009 Naive Bayes in R - Step 2.mp4 -
009 Naive Bayes in R - Step 2_en.srt -
010 Naive Bayes in R - Step 3.mp4 -
010 Naive Bayes in R - Step 3_en.srt -
001 Decision Tree Classification Intuition.mp4 -
001 Decision Tree Classification Intuition_en.srt -
002 Decision Tree Classification in Python - Step 1.mp4 -
002 Decision Tree Classification in Python - Step 1_en.srt -
003 Decision Tree Classification in Python - Step 2.mp4 -
003 Decision Tree Classification in Python - Step 2_en.srt -
004 Decision Tree Classification in R - Step 1.mp4 -
004 Decision Tree Classification in R - Step 1_en.srt -
005 Decision Tree Classification in R - Step 2.mp4 -
005 Decision Tree Classification in R - Step 2_en.srt -
006 Decision Tree Classification in R - Step 3.mp4 -
006 Decision Tree Classification in R - Step 3_en.srt -
[CourseClub.Me].url -
[FreeCourseSite.com].url -
[GigaCourse.Com].url -
001 Random Forest Classification Intuition.mp4 -
001 Random Forest Classification Intuition_en.srt -
002 Random Forest Classification in Python - Step 1.mp4 -
002 Random Forest Classification in Python - Step 1_en.srt -
003 Random Forest Classification in Python - Step 2.mp4 -
003 Random Forest Classification in Python - Step 2_en.srt -
004 Random Forest Classification in R - Step 1.mp4 -
004 Random Forest Classification in R - Step 1_en.srt -
005 Random Forest Classification in R - Step 2.mp4 -
005 Random Forest Classification in R - Step 2_en.srt -
006 Random Forest Classification in R - Step 3.mp4 -
006 Random Forest Classification in R - Step 3_en.srt -
001 Machine-Learning-A-Z-Model-Selection.zip -
001 Make sure you have this Model Selection folder ready.html -
002 Confusion Matrix & Accuracy Ratios.mp4 -
002 Confusion Matrix & Accuracy Ratios_en.srt -
003 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 1.mp4 -
003 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 1_en.srt -
004 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 2.mp4 -
004 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 2_en.srt -
005 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 3.mp4 -
005 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 3_en.srt -
006 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 4.mp4 -
006 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 4_en.srt -
001 False Positives & False Negatives.mp4 -
001 False Positives & False Negatives_en.srt -
002 Accuracy Paradox.mp4 -
002 Accuracy Paradox_en.srt -
003 CAP Curve.mp4 -
003 CAP Curve_en.srt -
004 CAP Curve Analysis.mp4 -
004 CAP Curve Analysis_en.srt -
005 Classification-Pros-Cons.pdf -
005 Conclusion of Part 3 - Classification.html -
001 Welcome to Part 4 - Clustering.html -
001 What is Clustering (Supervised vs Unsupervised Learning).mp4 -
001 What is Clustering (Supervised vs Unsupervised Learning)_en.srt -
002 K-Means Clustering Intuition.mp4 -
002 K-Means Clustering Intuition_en.srt -
003 The Elbow Method.mp4 -
003 The Elbow Method_en.srt -
004 K-Means++.mp4 -
004 K-Means++_en.srt -
005 K-Means Clustering in Python - Step 1a.mp4 -
005 K-Means Clustering in Python - Step 1a_en.srt -
006 K-Means Clustering in Python - Step 1b.mp4 -
006 K-Means Clustering in Python - Step 1b_en.srt -
007 K-Means Clustering in Python - Step 2a.mp4 -
007 K-Means Clustering in Python - Step 2a_en.srt -
008 K-Means Clustering in Python - Step 2b.mp4 -
008 K-Means Clustering in Python - Step 2b_en.srt -
009 K-Means Clustering in Python - Step 3a.mp4 -
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010 K-Means Clustering in Python - Step 3b.mp4 -
010 K-Means Clustering in Python - Step 3b_en.srt -
011 K-Means Clustering in Python - Step 3c.mp4 -
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012 K-Means Clustering in Python - Step 4.mp4 -
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013 K-Means Clustering in Python - Step 5a.mp4 -
013 K-Means Clustering in Python - Step 5a_en.srt -
014 K-Means Clustering in Python - Step 5b.mp4 -
014 K-Means Clustering in Python - Step 5b_en.srt -
015 K-Means Clustering in Python - Step 5c.mp4 -
015 K-Means Clustering in Python - Step 5c_en.srt -
016 K-Means Clustering in R - Step 1.mp4 -
016 K-Means Clustering in R - Step 1_en.srt -
017 K-Means Clustering in R - Step 2.mp4 -
017 K-Means Clustering in R - Step 2_en.srt -
001 Hierarchical Clustering Intuition.mp4 -
001 Hierarchical Clustering Intuition_en.srt -
002 Hierarchical Clustering How Dendrograms Work.mp4 -
002 Hierarchical Clustering How Dendrograms Work_en.srt -
003 Hierarchical Clustering Using Dendrograms.mp4 -
003 Hierarchical Clustering Using Dendrograms_en.srt -
004 Hierarchical Clustering in Python - Step 1.mp4 -
004 Hierarchical Clustering in Python - Step 1_en.srt -
005 Hierarchical Clustering in Python - Step 2a.mp4 -
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006 Hierarchical Clustering in Python - Step 2b.mp4 -
006 Hierarchical Clustering in Python - Step 2b_en.srt -
007 Hierarchical Clustering in Python - Step 2c.mp4 -
007 Hierarchical Clustering in Python - Step 2c_en.srt -
008 Hierarchical Clustering in Python - Step 3a.mp4 -
008 Hierarchical Clustering in Python - Step 3a_en.srt -
009 Hierarchical Clustering in Python - Step 3b.mp4 -
009 Hierarchical Clustering in Python - Step 3b_en.srt -
010 Hierarchical Clustering in R - Step 1.mp4 -
010 Hierarchical Clustering in R - Step 1_en.srt -
011 Hierarchical Clustering in R - Step 2.mp4 -
011 Hierarchical Clustering in R - Step 2_en.srt -
012 Hierarchical Clustering in R - Step 3.mp4 -
012 Hierarchical Clustering in R - Step 3_en.srt -
013 Hierarchical Clustering in R - Step 4.mp4 -
013 Hierarchical Clustering in R - Step 4_en.srt -
014 Hierarchical Clustering in R - Step 5.mp4 -
014 Hierarchical Clustering in R - Step 5_en.srt -
015 Clustering-Pros-Cons.pdf -
015 Conclusion of Part 4 - Clustering.html -
001 Welcome to Part 5 - Association Rule Learning.html -
001 Apriori Intuition.mp4 -
001 Apriori Intuition_en.srt -
002 Apriori in Python - Step 1.mp4 -
002 Apriori in Python - Step 1_en.srt -
003 Apriori in Python - Step 2.mp4 -
003 Apriori in Python - Step 2_en.srt -
004 Apriori in Python - Step 3.mp4 -
004 Apriori in Python - Step 3_en.srt -
005 Apriori in Python - Step 4.mp4 -
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006 Apriori in R - Step 1.mp4 -
006 Apriori in R - Step 1_en.srt -
007 Apriori in R - Step 2.mp4 -
007 Apriori in R - Step 2_en.srt -
008 Apriori in R - Step 3.mp4 -
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001 Eclat Intuition.mp4 -
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002 Eclat in Python.mp4 -
002 Eclat in Python_en.srt -
003 Eclat in R.mp4 -
003 Eclat in R_en.srt -
003 Eclat.zip -
001 Welcome to Part 6 - Reinforcement Learning.html -
001 The Multi-Armed Bandit Problem.mp4 -
001 The Multi-Armed Bandit Problem_en.srt -
002 Upper Confidence Bound (UCB) Intuition.mp4 -
002 Upper Confidence Bound (UCB) Intuition_en.srt -
003 Upper Confidence Bound in Python - Step 1.mp4 -
003 Upper Confidence Bound in Python - Step 1_en.srt -
004 Upper Confidence Bound in Python - Step 2.mp4 -
004 Upper Confidence Bound in Python - Step 2_en.srt -
005 Upper Confidence Bound in Python - Step 3.mp4 -
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006 Upper Confidence Bound in Python - Step 4.mp4 -
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007 Upper Confidence Bound in Python - Step 5.mp4 -
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008 Upper Confidence Bound in Python - Step 6.mp4 -
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009 Upper Confidence Bound in Python - Step 7.mp4 -
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010 Upper Confidence Bound in R - Step 1.mp4 -
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011 Upper Confidence Bound in R - Step 2.mp4 -
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012 Upper Confidence Bound in R - Step 3.mp4 -
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001 Thompson Sampling Intuition.mp4 -
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002 Algorithm Comparison UCB vs Thompson Sampling.mp4 -
002 Algorithm Comparison UCB vs Thompson Sampling_en.srt -
003 Thompson Sampling in Python - Step 1.mp4 -
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004 Thompson Sampling in Python - Step 2.mp4 -
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005 Thompson Sampling in Python - Step 3.mp4 -
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006 Thompson Sampling in Python - Step 4.mp4 -
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007 Additional Resource for this Section.html -
008 Thompson Sampling in R - Step 1.mp4 -
008 Thompson Sampling in R - Step 1_en.srt -
009 Thompson Sampling in R - Step 2.mp4 -
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001 Welcome to Part 7 - Natural Language Processing.html -
002 NLP Intuition.mp4 -
002 NLP Intuition_en.srt -
003 Types of Natural Language Processing.mp4 -
003 Types of Natural Language Processing_en.srt -
004 Classical vs Deep Learning Models.mp4 -
004 Classical vs Deep Learning Models_en.srt -
005 Bag-Of-Words Model.mp4 -
005 Bag-Of-Words Model_en.srt -
006 Natural Language Processing in Python - Step 1.mp4 -
006 Natural Language Processing in Python - Step 1_en.srt -
007 Natural Language Processing in Python - Step 2.mp4 -
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008 Natural Language Processing in Python - Step 3.mp4 -
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010 Natural Language Processing in Python - Step 5.mp4 -
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011 Natural Language Processing in Python - Step 6.mp4 -
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012 Natural Language Processing in Python - BONUS.html -
013 Homework Challenge.html -
014 Natural Language Processing in R - Step 1.mp4 -
014 Natural Language Processing in R - Step 1_en.srt -
015 Warning - Update.html -
016 Natural Language Processing in R - Step 2.mp4 -
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017 Natural Language Processing in R - Step 3.mp4 -
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023 Natural Language Processing in R - Step 9.mp4 -
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025 Homework Challenge.html -
001 Welcome to Part 8 - Deep Learning.html -
002 What is Deep Learning.mp4 -
002 What is Deep Learning_en.srt -
001 Plan of attack.mp4 -
001 Plan of attack_en.srt -
002 The Neuron.mp4 -
002 The Neuron_en.srt -
003 The Activation Function.mp4 -
003 The Activation Function_en.srt -
004 How do Neural Networks work.mp4 -
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005 How do Neural Networks learn.mp4 -
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006 Gradient Descent.mp4 -
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007 Stochastic Gradient Descent.mp4 -
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008 Backpropagation.mp4 -
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009 Business Problem Description.mp4 -
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011 ANN in Python - Step 2.mp4 -
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012 ANN in Python - Step 3.mp4 -
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015 ANN in R - Step 1.mp4 -
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016 ANN in R - Step 2.mp4 -
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018 ANN in R - Step 4 (Last step).mp4 -
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019 Deep Learning Additional Content.html -
020 EXTRA CONTENT ANN Case Study.html -
001 Plan of attack.mp4 -
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001 dataset.zip -
002 What are convolutional neural networks.mp4 -
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003 Step 1 - Convolution Operation.mp4 -
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004 Step 1(b) - ReLU Layer.mp4 -
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005 Step 2 - Pooling.mp4 -
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006 Step 3 - Flattening.mp4 -
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007 Step 4 - Full Connection.mp4 -
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008 Summary.mp4 -
008 Summary_en.srt -
009 Softmax & Cross-Entropy.mp4 -
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010 CNN in Python - Step 1.mp4 -
010 CNN in Python - Step 1_en.srt -
011 CNN in Python - Step 2.mp4 -
011 CNN in Python - Step 2_en.srt -
012 CNN in Python - Step 3.mp4 -
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015 CNN in Python - FINAL DEMO!.mp4 -
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016 Deep Learning Additional Content #2.html -
001 Welcome to Part 9 - Dimensionality Reduction.html -
001 Principal Component Analysis (PCA) Intuition.mp4 -
001 Principal Component Analysis (PCA) Intuition_en.srt -
002 PCA in Python - Step 1.mp4 -
002 PCA in Python - Step 1_en.srt -
003 PCA in Python - Step 2.mp4 -
003 PCA in Python - Step 2_en.srt -
004 PCA in R - Step 1.mp4 -
004 PCA in R - Step 1_en.srt -
005 PCA in R - Step 2.mp4 -
005 PCA in R - Step 2_en.srt -
006 PCA in R - Step 3.mp4 -
006 PCA in R - Step 3_en.srt -
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001 Linear Discriminant Analysis (LDA) Intuition.mp4 -
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002 LDA in Python.mp4 -
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003 LDA in R.mp4 -
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001 Kernel PCA in Python.mp4 -
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002 Kernel PCA in R.mp4 -
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001 Welcome to Part 10 - Model Selection & Boosting.html -
001 k-Fold Cross Validation in Python.mp4 -
001 k-Fold Cross Validation in Python_en.srt -
002 Grid Search in Python.mp4 -
002 Grid Search in Python_en.srt -
003 k-Fold Cross Validation in R.mp4 -
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004 Grid Search in R.mp4 -
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001 XGBoost in Python.mp4 -
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002 Model Selection and Boosting Additional Content.html -
003 XGBoost in R.mp4 -
003 XGBoost in R_en.srt -
001 OUR SPECIAL OFFER.html -
001 Logistic Regression Intuition.mp4 -
001 Logistic Regression Intuition_en.srt -
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001 Welcome to Part 2 - Regression.html -
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001 Decision Tree Regression Intuition.mp4 -
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002 Decision Tree Regression in Python - Step 1a.mp4 -
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006 Decision Tree Regression in Python - Step 4.mp4 -
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006 Decision Tree Regression in Python - Step 4_en.srt -
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007 Decision Tree Regression in R - Step 1.mp4 -
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008 Decision Tree Regression in R - Step 2.mp4 -
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010 Decision Tree Regression in R - Step 4.mp4 -
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001 Random Forest Regression Intuition.mp4 -
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002 Random Forest Regression in Python - Step 1.mp4 -
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003 Random Forest Regression in Python - Step 2.mp4 -
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003 Random Forest Regression in Python - Step 2_en.srt -
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004 Random Forest Regression in R - Step 1.mp4 -
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004 Random Forest Regression in R - Step 1_en.srt -
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005 Random Forest Regression in R - Step 2.mp4 -
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006 Random Forest Regression in R - Step 3.mp4 -
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006 Random Forest Regression in R - Step 3_en.srt -
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001 R-Squared Intuition.mp4 -
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001 R-Squared Intuition_en.srt -
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002 Adjusted R-Squared Intuition.mp4 -
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002 Adjusted R-Squared Intuition_en.srt -
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001 Machine-Learning-A-Z-Model-Selection.zip -
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001 Make sure you have this Model Selection folder ready.html -
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002 Preparation of the Regression Code Templates - Step 1.mp4 -
10.4 MB
002 Preparation of the Regression Code Templates - Step 1_en.srt -
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003 Preparation of the Regression Code Templates - Step 2.mp4 -
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004 Preparation of the Regression Code Templates - Step 3.mp4 -
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005 Preparation of the Regression Code Templates - Step 4.mp4 -
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006 THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION! - STEP 1.mp4 -
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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 -
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007 THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION! - STEP 2_en.srt -
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008 Conclusion of Part 2 - Regression.html -
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008 Regression-Bonus.zip -
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001 Evaluating Regression Models Performance - Homework's Final Part.mp4 -
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001 Evaluating Regression Models Performance - Homework's Final Part_en.srt -
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002 Interpreting Linear Regression Coefficients.mp4 -
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002 Interpreting Linear Regression Coefficients_en.srt -
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003 Conclusion of Part 2 - Regression.html -
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003 Regression-Bonus.zip -
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001 Welcome to Part 3 - Classification.html -
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001 What is Classification.mp4 -
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002 Logistic Regression Intuition.mp4 -
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002 Logistic Regression Intuition_en.srt -
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003 Maximum Likelihood.mp4 -
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004 Logistic Regression in Python - Step 1a.mp4 -
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008 Logistic Regression in Python - Step 3a.mp4 -
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010 Logistic Regression in Python - Step 4a.mp4 -
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017 Logistic Regression in Python - Step 7c.mp4 -
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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 -
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021 Logistic Regression in R - Step 3.mp4 -
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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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025 Logistic Regression in R - Step 5b.mp4 -
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026 Logistic Regression in R - Step 5c.mp4 -
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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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001 K-Nearest Neighbor Intuition.mp4 -
10.5 MB
001 K-Nearest Neighbor Intuition_en.srt -
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002 K-NN in Python - Step 1.mp4 -
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003 K-NN in Python - Step 2.mp4 -
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004 K-NN in Python - Step 3.mp4 -
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005 K-NN in R - Step 1.mp4 -
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006 K-NN in R - Step 2.mp4 -
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007 K-NN in R - Step 3.mp4 -
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001 SVM Intuition.mp4 -
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002 SVM in Python - Step 1.mp4 -
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003 SVM in Python - Step 2.mp4 -
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003 SVM in Python - Step 2_en.srt -
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004 SVM in Python - Step 3.mp4 -
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004 SVM in Python - Step 3_en.srt -
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005 SVM in R - Step 1.mp4 -
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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 -
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001 Kernel SVM Intuition.mp4 -
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002 Mapping to a higher dimension.mp4 -
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003 The Kernel Trick.mp4 -
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004 Types of Kernel Functions.mp4 -
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005 Non-Linear Kernel SVR (Advanced).mp4 -
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006 Kernel SVM in Python - Step 1.mp4 -
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007 Kernel SVM in Python - Step 2.mp4 -
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007 Kernel SVM in Python - Step 2_en.srt -
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008 Kernel SVM in R - Step 1.mp4 -
55.3 MB
008 Kernel SVM in R - Step 1_en.srt -
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009 Kernel SVM in R - Step 2.mp4 -
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009 Kernel SVM in R - Step 2_en.srt -
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010 Kernel SVM in R - Step 3.mp4 -
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010 Kernel SVM in R - Step 3_en.srt -
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001 Bayes Theorem.mp4 -
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001 Bayes Theorem_en.srt -
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002 Naive Bayes Intuition.mp4 -
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003 Naive Bayes Intuition (Challenge Reveal).mp4 -
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004 Naive Bayes Intuition (Extras).mp4 -
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005 Naive Bayes in Python - Step 1.mp4 -
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006 Naive Bayes in Python - Step 2.mp4 -
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007 Naive Bayes in Python - Step 3.mp4 -
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007 Naive Bayes in Python - Step 3_en.srt -
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008 Naive Bayes in R - Step 1.mp4 -
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008 Naive Bayes in R - Step 1_en.srt -
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009 Naive Bayes in R - Step 2.mp4 -
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009 Naive Bayes in R - Step 2_en.srt -
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010 Naive Bayes in R - Step 3.mp4 -
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001 Decision Tree Classification Intuition.mp4 -
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002 Decision Tree Classification in Python - Step 1.mp4 -
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002 Decision Tree Classification in Python - Step 1_en.srt -
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003 Decision Tree Classification in Python - Step 2.mp4 -
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003 Decision Tree Classification in Python - Step 2_en.srt -
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004 Decision Tree Classification in R - Step 1.mp4 -
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004 Decision Tree Classification in R - Step 1_en.srt -
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005 Decision Tree Classification in R - Step 2.mp4 -
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005 Decision Tree Classification in R - Step 2_en.srt -
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006 Decision Tree Classification in R - Step 3.mp4 -
21.7 MB
006 Decision Tree Classification in R - Step 3_en.srt -
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[CourseClub.Me].url -
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127 bytes
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001 Random Forest Classification Intuition.mp4 -
41.6 MB
001 Random Forest Classification Intuition_en.srt -
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002 Random Forest Classification in Python - Step 1.mp4 -
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003 Random Forest Classification in Python - Step 2.mp4 -
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003 Random Forest Classification in Python - Step 2_en.srt -
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004 Random Forest Classification in R - Step 1.mp4 -
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004 Random Forest Classification in R - Step 1_en.srt -
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005 Random Forest Classification in R - Step 2.mp4 -
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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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001 Machine-Learning-A-Z-Model-Selection.zip -
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001 Make sure you have this Model Selection folder ready.html -
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002 Confusion Matrix & Accuracy Ratios.mp4 -
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002 Confusion Matrix & Accuracy Ratios_en.srt -
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003 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 1.mp4 -
21.0 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 -
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005 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 3.mp4 -
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006 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 4.mp4 -
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001 False Positives & False Negatives.mp4 -
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002 Accuracy Paradox.mp4 -
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003 CAP Curve.mp4 -
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003 CAP Curve_en.srt -
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004 CAP Curve Analysis.mp4 -
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004 CAP Curve Analysis_en.srt -
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005 Classification-Pros-Cons.pdf -
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005 Conclusion of Part 3 - Classification.html -
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001 Welcome to Part 4 - Clustering.html -
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001 What is Clustering (Supervised vs Unsupervised Learning).mp4 -
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001 What is Clustering (Supervised vs Unsupervised Learning)_en.srt -
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002 K-Means Clustering Intuition.mp4 -
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003 The Elbow Method.mp4 -
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003 The Elbow Method_en.srt -
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004 K-Means++.mp4 -
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005 K-Means Clustering in Python - Step 1a.mp4 -
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006 K-Means Clustering in Python - Step 1b.mp4 -
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007 K-Means Clustering in Python - Step 2a.mp4 -
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008 K-Means Clustering in Python - Step 2b.mp4 -
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009 K-Means Clustering in Python - Step 3a.mp4 -
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010 K-Means Clustering in Python - Step 3b.mp4 -
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011 K-Means Clustering in Python - Step 3c.mp4 -
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012 K-Means Clustering in Python - Step 4.mp4 -
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013 K-Means Clustering in Python - Step 5a.mp4 -
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014 K-Means Clustering in Python - Step 5b.mp4 -
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015 K-Means Clustering in Python - Step 5c.mp4 -
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015 K-Means Clustering in Python - Step 5c_en.srt -
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016 K-Means Clustering in R - Step 1.mp4 -
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017 K-Means Clustering in R - Step 2.mp4 -
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001 Hierarchical Clustering Intuition.mp4 -
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002 Hierarchical Clustering How Dendrograms Work.mp4 -
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003 Hierarchical Clustering Using Dendrograms.mp4 -
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004 Hierarchical Clustering in Python - Step 1.mp4 -
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008 Hierarchical Clustering in Python - Step 3a.mp4 -
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010 Hierarchical Clustering in R - Step 1.mp4 -
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014 Hierarchical Clustering in R - Step 5.mp4 -
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014 Hierarchical Clustering in R - Step 5_en.srt -
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015 Clustering-Pros-Cons.pdf -
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015 Conclusion of Part 4 - Clustering.html -
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001 Welcome to Part 5 - Association Rule Learning.html -
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001 Apriori Intuition.mp4 -
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002 Apriori in Python - Step 1.mp4 -
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005 Apriori in Python - Step 4.mp4 -
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006 Apriori in R - Step 1.mp4 -
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007 Apriori in R - Step 2.mp4 -
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008 Apriori in R - Step 3.mp4 -
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001 Eclat Intuition.mp4 -
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002 Eclat in Python.mp4 -
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003 Eclat in R.mp4 -
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003 Eclat in R_en.srt -
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003 Eclat.zip -
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001 Welcome to Part 6 - Reinforcement Learning.html -
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001 The Multi-Armed Bandit Problem.mp4 -
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001 The Multi-Armed Bandit Problem_en.srt -
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002 Upper Confidence Bound (UCB) Intuition.mp4 -
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002 Upper Confidence Bound (UCB) Intuition_en.srt -
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003 Upper Confidence Bound in Python - Step 1.mp4 -
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003 Upper Confidence Bound in Python - Step 1_en.srt -
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004 Upper Confidence Bound in Python - Step 2.mp4 -
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010 Upper Confidence Bound in R - Step 1.mp4 -
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011 Upper Confidence Bound in R - Step 2.mp4 -
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011 Upper Confidence Bound in R - Step 2_en.srt -
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012 Upper Confidence Bound in R - Step 3.mp4 -
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013 Upper Confidence Bound in R - Step 4.mp4 -
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001 Thompson Sampling Intuition.mp4 -
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002 Algorithm Comparison UCB vs Thompson Sampling.mp4 -
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002 Algorithm Comparison UCB vs Thompson Sampling_en.srt -
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003 Thompson Sampling in Python - Step 1.mp4 -
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004 Thompson Sampling in Python - Step 2.mp4 -
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006 Thompson Sampling in Python - Step 4.mp4 -
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007 Additional Resource for this Section.html -
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008 Thompson Sampling in R - Step 1.mp4 -
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008 Thompson Sampling in R - Step 1_en.srt -
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009 Thompson Sampling in R - Step 2.mp4 -
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009 Thompson Sampling in R - Step 2_en.srt -
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001 Welcome to Part 7 - Natural Language Processing.html -
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002 NLP Intuition.mp4 -
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002 NLP Intuition_en.srt -
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003 Types of Natural Language Processing.mp4 -
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003 Types of Natural Language Processing_en.srt -
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004 Classical vs Deep Learning Models.mp4 -
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005 Bag-Of-Words Model.mp4 -
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006 Natural Language Processing in Python - Step 1.mp4 -
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007 Natural Language Processing in Python - Step 2.mp4 -
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008 Natural Language Processing in Python - Step 3.mp4 -
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009 Natural Language Processing in Python - Step 4.mp4 -
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009 Natural Language Processing in Python - Step 4_en.srt -
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010 Natural Language Processing in Python - Step 5.mp4 -
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011 Natural Language Processing in Python - Step 6.mp4 -
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011 Natural Language Processing in Python - Step 6_en.srt -
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012 Natural Language Processing in Python - BONUS.html -
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013 Homework Challenge.html -
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014 Natural Language Processing in R - Step 1.mp4 -
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014 Natural Language Processing in R - Step 1_en.srt -
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015 Warning - Update.html -
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016 Natural Language Processing in R - Step 2.mp4 -
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016 Natural Language Processing in R - Step 2_en.srt -
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017 Natural Language Processing in R - Step 3.mp4 -
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023 Natural Language Processing in R - Step 9.mp4 -
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024 Natural Language Processing in R - Step 10.mp4 -
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024 Natural Language Processing in R - Step 10_en.srt -
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025 Homework Challenge.html -
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001 Welcome to Part 8 - Deep Learning.html -
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002 What is Deep Learning.mp4 -
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002 What is Deep Learning_en.srt -
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001 Plan of attack.mp4 -
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001 Plan of attack_en.srt -
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002 The Neuron.mp4 -
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002 The Neuron_en.srt -
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003 The Activation Function.mp4 -
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003 The Activation Function_en.srt -
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004 How do Neural Networks work.mp4 -
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004 How do Neural Networks work_en.srt -
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005 How do Neural Networks learn.mp4 -
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006 Gradient Descent.mp4 -
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007 Stochastic Gradient Descent.mp4 -
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008 Backpropagation.mp4 -
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009 Business Problem Description.mp4 -
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010 ANN in Python - Step 1.mp4 -
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011 ANN in Python - Step 2.mp4 -
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012 ANN in Python - Step 3.mp4 -
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014 ANN in Python - Step 5.mp4 -
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015 ANN in R - Step 1.mp4 -
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016 ANN in R - Step 2.mp4 -
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017 ANN in R - Step 3.mp4 -
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018 ANN in R - Step 4 (Last step).mp4 -
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018 ANN in R - Step 4 (Last step)_en.srt -
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019 Deep Learning Additional Content.html -
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020 EXTRA CONTENT ANN Case Study.html -
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001 Plan of attack.mp4 -
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001 Plan of attack_en.srt -
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001 dataset.zip -
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002 What are convolutional neural networks.mp4 -
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002 What are convolutional neural networks_en.srt -
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003 Step 1 - Convolution Operation.mp4 -
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003 Step 1 - Convolution Operation_en.srt -
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004 Step 1(b) - ReLU Layer.mp4 -
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004 Step 1(b) - ReLU Layer_en.srt -
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005 Step 2 - Pooling.mp4 -
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005 Step 2 - Pooling_en.srt -
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006 Step 3 - Flattening.mp4 -
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006 Step 3 - Flattening_en.srt -
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007 Step 4 - Full Connection.mp4 -
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007 Step 4 - Full Connection_en.srt -
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008 Summary.mp4 -
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008 Summary_en.srt -
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009 Softmax & Cross-Entropy.mp4 -
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009 Softmax & Cross-Entropy_en.srt -
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010 CNN in Python - Step 1.mp4 -
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010 CNN in Python - Step 1_en.srt -
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011 CNN in Python - Step 2.mp4 -
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011 CNN in Python - Step 2_en.srt -
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012 CNN in Python - Step 3.mp4 -
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012 CNN in Python - Step 3_en.srt -
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013 CNN in Python - Step 4.mp4 -
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013 CNN in Python - Step 4_en.srt -
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014 CNN in Python - Step 5.mp4 -
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014 CNN in Python - Step 5_en.srt -
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015 CNN in Python - FINAL DEMO!.mp4 -
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015 CNN in Python - FINAL DEMO!_en.srt -
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016 Deep Learning Additional Content #2.html -
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001 Welcome to Part 9 - Dimensionality Reduction.html -
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001 Principal Component Analysis (PCA) Intuition.mp4 -
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002 PCA in Python - Step 1.mp4 -
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002 PCA in Python - Step 1_en.srt -
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003 PCA in Python - Step 2.mp4 -
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003 PCA in Python - Step 2_en.srt -
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004 PCA in R - Step 1.mp4 -
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004 PCA in R - Step 1_en.srt -
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005 PCA in R - Step 2.mp4 -
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006 PCA in R - Step 3.mp4 -
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006 PCA in R - Step 3_en.srt -
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[CourseClub.Me].url -
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[GigaCourse.Com].url -
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001 Linear Discriminant Analysis (LDA) Intuition.mp4 -
15.1 MB
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002 LDA in Python.mp4 -
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002 LDA in Python_en.srt -
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003 LDA in R.mp4 -
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003 LDA in R_en.srt -
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001 Kernel PCA in Python.mp4 -
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001 Kernel PCA in Python_en.srt -
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002 Kernel PCA in R.mp4 -
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002 Kernel PCA in R_en.srt -
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001 Welcome to Part 10 - Model Selection & Boosting.html -
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001 k-Fold Cross Validation in Python.mp4 -
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002 Grid Search in Python.mp4 -
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002 Grid Search in Python_en.srt -
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003 k-Fold Cross Validation in R.mp4 -
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003 k-Fold Cross Validation in R_en.srt -
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004 Grid Search in R.mp4 -
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004 Grid Search in R_en.srt -
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001 XGBoost in Python.mp4 -
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002 Model Selection and Boosting Additional Content.html -
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003 XGBoost in R.mp4 -
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003 XGBoost in R_en.srt -
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001 OUR SPECIAL OFFER.html -
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001 Logistic Regression Intuition.mp4 -
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