Name                                                                                        Last modified      Size  
 Parent Directory                                                                                                 -   
 000 Welcome to Part 2 - Regression.html                                                     2026-05-21 16:51  3.0K  
 000 Welcome to Part 5 - Association Rule Learning.html                                      2026-05-21 16:52  2.7K  
 000 Welcome to Part 6 - Reinforcement Learning.html                                         2026-05-21 16:52  3.7K  
 000 Welcome to Part 9 - Dimensionality Reduction.html                                       2026-05-21 16:52  3.4K  
 000 Welcome to Part 10 - Model Selection & Boosting.html                                    2026-05-21 16:52  3.1K  
 001 Apriori Algorithm Uncovering Hidden Patterns in Data Mining  Association Rules.mp4      2026-05-21 16:52   56M  
 001 Apriori Algorithm Uncovering Hidden Patterns in Data Mining  Association Rules.srt      2026-05-21 16:52   30K  
 001 Data Preprocessing for Beginners Preparing Your Dataset for Machine Learning.mp4        2026-05-21 16:51  4.9M  
 001 Data Preprocessing for Beginners Preparing Your Dataset for Machine Learning.srt        2026-05-21 16:51  2.8K  
 001 From Linear to Non-Linear SVM Exploring Higher Dimensional Spaces.mp4                   2026-05-21 16:51   10M  
 001 From Linear to Non-Linear SVM Exploring Higher Dimensional Spaces.srt                   2026-05-21 16:52  5.2K  
 001 How Decision Tree Algorithms Work Step-by-Step Guide with Examples.mp4                  2026-05-21 16:52   25M  
 001 How Decision Tree Algorithms Work Step-by-Step Guide with Examples.srt                  2026-05-21 16:52   15K  
 001 How Does Support Vector Regression --(SVR--) Differ from Linear Regression.mp4          2026-05-21 16:51   25M  
 001 How Does Support Vector Regression --(SVR--) Differ from Linear Regression.srt          2026-05-21 16:51   14K  
 001 How to Build a Regression Tree Step-by-Step Guide for Machine Learning.mp4              2026-05-21 16:51   34M  
 001 How to Build a Regression Tree Step-by-Step Guide for Machine Learning.srt              2026-05-21 16:51   19K  
 001 How to Perform Hierarchical Clustering Step-by-Step Guide for Machine Learning.mp4      2026-05-21 16:52   24M  
 001 How to Perform Hierarchical Clustering Step-by-Step Guide for Machine Learning.srt      2026-05-21 16:52   16K  
 001 How to Use XGBoost in Python for Cancer Prediction with High Accuracy.mp4               2026-05-21 16:52   46M  
 001 How to Use XGBoost in Python for Cancer Prediction with High Accuracy.srt               2026-05-21 16:52   30K  
 001 K-Nearest Neighbors --(KNN--) Explained A Beginner--'s Guide to Classification.mp4      2026-05-21 16:51   15M  
 001 K-Nearest Neighbors --(KNN--) Explained A Beginner--'s Guide to Classification.srt      2026-05-21 16:51  9.1K  
 001 Kernel PCA in Python Improving Classification Accuracy with Feature Extraction.mp4      2026-05-21 16:52   34M  
 001 Kernel PCA in Python Improving Classification Accuracy with Feature Extraction.srt      2026-05-21 16:52   22K  
 001 LDA Intuition Maximizing Class Separation in Machine Learning Algorithms.mp4            2026-05-21 16:52   12M  
 001 LDA Intuition Maximizing Class Separation in Machine Learning Algorithms.srt            2026-05-21 16:52  6.0K  
 001 Logistic Regression Interpreting Predictions and Errors in Data Science.mp4             2026-05-21 16:52   25M  
 001 Logistic Regression Interpreting Predictions and Errors in Data Science.srt             2026-05-21 16:52   13K  
 001 Logistic Regression Intuition.mp4                                                       2026-05-21 16:52   53M  
 001 Logistic Regression Intuition.srt                                                       2026-05-21 16:52   28K  
 001 Machine-Learning-A-Z-Model-Selection.zip                                                2026-05-21 16:51  162K  
 001 Make sure you have this Model Selection folder ready.html                               2026-05-21 16:51  3.2K  
 001 Mastering ECLAT Support-Based Approach to Market Basket Optimization.mp4                2026-05-21 16:52   16M  
 001 Mastering ECLAT Support-Based Approach to Market Basket Optimization.srt                2026-05-21 16:52  9.3K  
 001 Mastering Model Evaluation K-Fold Cross-Validation Techniques Explained.mp4             2026-05-21 16:52   30M  
 001 Mastering Model Evaluation K-Fold Cross-Validation Techniques Explained.srt             2026-05-21 16:52   16K  
 001 Multi-Armed Bandit Exploration vs Exploitation in Reinforcement Learning.mp4            2026-05-21 16:52   48M  
 001 Multi-Armed Bandit Exploration vs Exploitation in Reinforcement Learning.srt            2026-05-21 16:52   26K  
 001 Optimizing Regression Models R-Squared vs Adjusted R-Squared Explained.mp4              2026-05-21 16:51   27M  
 001 Optimizing Regression Models R-Squared vs Adjusted R-Squared Explained.srt              2026-05-21 16:51   14K  
 001 PCA Algorithm Intuition Reducing Dimensions in Unsupervised Learning.mp4                2026-05-21 16:52   11M  
 001 PCA Algorithm Intuition Reducing Dimensions in Unsupervised Learning.srt                2026-05-21 16:52  5.7K  
 001 Simple Linear Regression Understanding the Equation and Potato Yield Prediction.mp4     2026-05-21 16:51  7.3M  
 001 Simple Linear Regression Understanding the Equation and Potato Yield Prediction.srt     2026-05-21 16:51  3.6K  
 001 Startup Success Prediction Regression Model for VC Fund Decision-Making.mp4             2026-05-21 16:51   12M  
 001 Startup Success Prediction Regression Model for VC Fund Decision-Making.srt             2026-05-21 16:51  6.3K  
 001 Step 1 - Data Preprocessing in Python Preparing Your Dataset for ML Models.mp4          2026-05-21 16:51   16M  
 001 Step 1 - Data Preprocessing in Python Preparing Your Dataset for ML Models.srt          2026-05-21 16:51  9.0K  
 001 Support Vector Machines Explained Hyperplanes and Support Vectors in ML.mp4             2026-05-21 16:51   32M  
 001 Support Vector Machines Explained Hyperplanes and Support Vectors in ML.srt             2026-05-21 16:51   17K  
 001 Understanding Bayes--' Theorem Intuitively From Probability to Machine Learning.mp4     2026-05-21 16:52   63M  
 001 Understanding Bayes--' Theorem Intuitively From Probability to Machine Learning.srt     2026-05-21 16:52   37K  
 001 Understanding CNN Layers Convolution, ReLU, Pooling, and Flattening Explained.mp4       2026-05-21 16:52   10M  
 001 Understanding CNN Layers Convolution, ReLU, Pooling, and Flattening Explained.srt       2026-05-21 16:52  6.0K  
 001 Understanding Logistic Regression Predicting Categorical Outcomes.mp4                   2026-05-21 16:51   11M  
 001 Understanding Logistic Regression Predicting Categorical Outcomes.srt                   2026-05-21 16:51  8.2K  
 001 Understanding Polynomial Linear Regression Applications and Examples.mp4                2026-05-21 16:51   16M  
 001 Understanding Polynomial Linear Regression Applications and Examples.srt                2026-05-21 16:51  8.7K  
 001 Understanding R-squared Evaluating Goodness of Fit in Regression Models.mp4             2026-05-21 16:51  8.0M  
 001 Understanding R-squared Evaluating Goodness of Fit in Regression Models.srt             2026-05-21 16:51  7.6K  
 001 Understanding Random Forest Algorithm Intuition and Application in ML.mp4               2026-05-21 16:51   23M  
 001 Understanding Random Forest Algorithm Intuition and Application in ML.srt               2026-05-21 16:51   12K  
 001 Understanding Random Forest Decision Trees and Majority Voting Explained.mp4            2026-05-21 16:52   16M  
 001 Understanding Random Forest Decision Trees and Majority Voting Explained.srt            2026-05-21 16:52  8.0K  
 001 Understanding Thompson Sampling Algorithm Intuition and Implementation.mp4              2026-05-21 16:52   58M  
 001 Understanding Thompson Sampling Algorithm Intuition and Implementation.srt              2026-05-21 16:52   33K  
 001 Welcome Challenge!.html                                                                 2026-05-21 16:51  7.6K  
 001 Welcome to Part 1 - Data Preprocessing.html                                             2026-05-21 16:51  2.7K  
 001 Welcome to Part 3 - Classification.html                                                 2026-05-21 16:51  3.1K  
 001 Welcome to Part 4 - Clustering.html                                                     2026-05-21 16:52  3.0K  
 001 Welcome to Part 7 - Natural Language Processing.html                                    2026-05-21 16:52  4.0K  
 001 Welcome to Part 8 - Deep Learning.html                                                  2026-05-21 16:52  3.1K  
 001 dataset.zip                                                                             2026-05-21 16:52  221M  
 002 Data Preprocessing Tutorial Understanding Independent vs Dependent Variables.mp4        2026-05-21 16:51  6.0M  
 002 Data Preprocessing Tutorial Understanding Independent vs Dependent Variables.srt        2026-05-21 16:51  3.3K  
 002 Deep Learning Basics Exploring Neurons, Synapses, and Activation Functions.mp4          2026-05-21 16:52   50M  
 002 Deep Learning Basics Exploring Neurons, Synapses, and Activation Functions.srt          2026-05-21 16:52   31K  
 002 Deterministic vs Probabilistic UCB and Thompson Sampling in Machine Learning.mp4        2026-05-21 16:52   25M  
 002 Deterministic vs Probabilistic UCB and Thompson Sampling in Machine Learning.srt        2026-05-21 16:52   14K  
 002 Get Excited about ML Predict Car Purchases with Python --& Scikit-learn in 5 mins.mp4   2026-05-21 16:51   14M  
 002 Get Excited about ML Predict Car Purchases with Python --& Scikit-learn in 5 mins.srt   2026-05-21 16:51  8.3K  
 002 How to Find the Best Fit Line Understanding Ordinary Least Squares Regression.mp4       2026-05-21 16:51  6.0M  
 002 How to Find the Best Fit Line Understanding Ordinary Least Squares Regression.srt       2026-05-21 16:51  5.3K  
 002 How to Master the Bias-Variance Tradeoff in Machine Learning Models.mp4                 2026-05-21 16:52   15M  
 002 How to Master the Bias-Variance Tradeoff in Machine Learning Models.srt                 2026-05-21 16:52  8.4K  
 002 Implementing Kernel PCA for Non-Linear Data Step-by-Step Guide.mp4                      2026-05-21 16:52   69M  
 002 Implementing Kernel PCA for Non-Linear Data Step-by-Step Guide.srt                      2026-05-21 16:52   36K  
 002 Introduction to CNNs Understanding Deep Learning for Computer Vision.mp4                2026-05-21 16:52   49M  
 002 Introduction to CNNs Understanding Deep Learning for Computer Vision.srt                2026-05-21 16:52   26K  
 002 Introduction to Deep Learning From Historical Context to Modern Applications.mp4        2026-05-21 16:52   43M  
 002 Introduction to Deep Learning From Historical Context to Modern Applications.srt        2026-05-21 16:52   21K  
 002 Linear Regression Analysis Interpreting Coefficients for Business Decisions.mp4         2026-05-21 16:51   29M  
 002 Linear Regression Analysis Interpreting Coefficients for Business Decisions.srt         2026-05-21 16:51   15K  
 002 Logistic Regression Finding the Best Fit Curve Using Maximum Likelihood.mp4             2026-05-21 16:51  9.6M  
 002 Logistic Regression Finding the Best Fit Curve Using Maximum Likelihood.srt             2026-05-21 16:51  6.0K  
 002 Machine Learning Model Evaluation Accuracy Paradox and Better Metrics.mp4               2026-05-21 16:52  6.9M  
 002 Machine Learning Model Evaluation Accuracy Paradox and Better Metrics.srt               2026-05-21 16:52  3.5K  
 002 Machine Learning Workflow Importing, Modeling, and Evaluating Your ML Model.mp4         2026-05-21 16:51  3.7M  
 002 Machine Learning Workflow Importing, Modeling, and Evaluating Your ML Model.srt         2026-05-21 16:51  2.7K  
 002 Mastering Linear Discriminant Analysis Step-by-Step Python Implementation.mp4           2026-05-21 16:52   46M  
 002 Mastering Linear Discriminant Analysis Step-by-Step Python Implementation.srt           2026-05-21 16:52   30K  
 002 Mastering the Confusion Matrix True Positives, Negatives, and Errors.mp4                2026-05-21 16:52   12M  
 002 Mastering the Confusion Matrix True Positives, Negatives, and Errors.srt                2026-05-21 16:52  7.7K  
 002 Model Selection and Boosting Additional Content.html                                    2026-05-21 16:52  3.4K  
 002 Multiple Linear Regression Independent Variables --& Prediction Models.mp4              2026-05-21 16:51  7.5M  
 002 Multiple Linear Regression Independent Variables --& Prediction Models.srt              2026-05-21 16:51  4.1K  
 002 NLP Basics Understanding Bag of Words and Its Applications in Machine Learning.mp4      2026-05-21 16:52  9.2M  
 002 NLP Basics Understanding Bag of Words and Its Applications in Machine Learning.srt      2026-05-21 16:52  5.0K  
 002 Python Tutorial Adapting Apriori to Eclat for Efficient Frequent Itemset Mining.mp4     2026-05-21 16:52   37M  
 002 Python Tutorial Adapting Apriori to Eclat for Efficient Frequent Itemset Mining.srt     2026-05-21 16:52   25K  
 002 RBF Kernel SVR From Linear to Non-Linear Support Vector Regression.mp4                  2026-05-21 16:51   11M  
 002 RBF Kernel SVR From Linear to Non-Linear Support Vector Regression.srt                  2026-05-21 16:51  6.9K  
 002 Step 1 - Association Rule Learning Boost Sales with Python Data Mining.mp4              2026-05-21 16:52   31M  
 002 Step 1 - Association Rule Learning Boost Sales with Python Data Mining.srt              2026-05-21 16:52   16K  
 002 Step 1 - Building a Random Forest Regression Model with Python and Scikit-Learn.mp4     2026-05-21 16:51   18M  
 002 Step 1 - Building a Random Forest Regression Model with Python and Scikit-Learn.srt     2026-05-21 16:51   10K  
 002 Step 1 - Building a Support Vector Machine Model with Scikit-learn in Python.mp4        2026-05-21 16:51   19M  
 002 Step 1 - Building a Support Vector Machine Model with Scikit-learn in Python.srt        2026-05-21 16:51   10K  
 002 Step 1 - Implementing Decision Tree Classification in Python with Scikit-learn.mp4      2026-05-21 16:52   18M  
 002 Step 1 - Implementing Decision Tree Classification in Python with Scikit-learn.srt      2026-05-21 16:52   10K  
 002 Step 1 - Implementing Random Forest Classification in Python with Scikit-Learn.mp4      2026-05-21 16:52   18M  
 002 Step 1 - Implementing Random Forest Classification in Python with Scikit-Learn.srt      2026-05-21 16:52   10K  
 002 Step 1 - Mastering Regression Toolkit Comparing Models for Optimal Performance.mp4      2026-05-21 16:51   15M  
 002 Step 1 - Mastering Regression Toolkit Comparing Models for Optimal Performance.srt      2026-05-21 16:51  7.7K  
 002 Step 1 - Python KNN Tutorial Classifying Customer Data for Targeted Marketing.mp4       2026-05-21 16:51   19M  
 002 Step 1 - Python KNN Tutorial Classifying Customer Data for Targeted Marketing.srt       2026-05-21 16:51  9.8K  
 002 Step 1 PCA in Python  Reducing Wine Dataset Features with Scikit-learn.mp4              2026-05-21 16:52   52M  
 002 Step 1 PCA in Python  Reducing Wine Dataset Features with Scikit-learn.srt              2026-05-21 16:52   35K  
 002 Step 1a - Building a Polynomial Regression Model for Salary Prediction in Python.mp4    2026-05-21 16:51   12M  
 002 Step 1a - Building a Polynomial Regression Model for Salary Prediction in Python.srt    2026-05-21 16:51  7.3K  
 002 Step 1a - Decision Tree Regression Building a Model without Feature Scaling.mp4         2026-05-21 16:51   14M  
 002 Step 1a - Decision Tree Regression Building a Model without Feature Scaling.srt         2026-05-21 16:51  8.0K  
 002 Step 2 - Data Preprocessing Techniques From Raw Data to ML-Ready Datasets.mp4           2026-05-21 16:51   17M  
 002 Step 2 - Data Preprocessing Techniques From Raw Data to ML-Ready Datasets.srt           2026-05-21 16:51   11K  
 002 Support Vector Machines Transforming Non-Linear Data for Linear Separation.mp4          2026-05-21 16:52   19M  
 002 Support Vector Machines Transforming Non-Linear Data for Linear Separation.srt          2026-05-21 16:52   13K  
 002 Understanding Adjusted R-Squared Key Differences from R-Squared Explained.mp4           2026-05-21 16:51   17M  
 002 Understanding Adjusted R-Squared Key Differences from R-Squared Explained.srt           2026-05-21 16:51  8.4K  
 002 Understanding Naive Bayes Algorithm Probabilistic Classification Explained.mp4          2026-05-21 16:52   42M  
 002 Understanding Naive Bayes Algorithm Probabilistic Classification Explained.srt          2026-05-21 16:52   27K  
 002 Upper Confidence Bound Algorithm Solving Multi-Armed Bandit Problems in ML.mp4          2026-05-21 16:52   44M  
 002 Upper Confidence Bound Algorithm Solving Multi-Armed Bandit Problems in ML.srt          2026-05-21 16:52   27K  
 002 Visualizing Cluster Dissimilarity Dendrograms in Hierarchical Clustering.mp4            2026-05-21 16:52   27M  
 002 Visualizing Cluster Dissimilarity Dendrograms in Hierarchical Clustering.srt            2026-05-21 16:52   16K  
 002 What is Classification in Machine Learning Fundamentals and Applications.mp4            2026-05-21 16:51  7.8M  
 002 What is Classification in Machine Learning Fundamentals and Applications.srt            2026-05-21 16:51  4.1K  
 003 Bayes Theorem in Machine Learning Step-by-Step Probability Calculation.mp4              2026-05-21 16:52   19M  
 003 Bayes Theorem in Machine Learning Step-by-Step Probability Calculation.srt              2026-05-21 16:52   11K  
 003 Conclusion of Part 2 - Regression.html                                                  2026-05-21 16:51  3.9K  
 003 Data Preprocessing Importance of Training-Test Split in ML Model Evaluation.mp4         2026-05-21 16:51  6.3M  
 003 Data Preprocessing Importance of Training-Test Split in ML Model Evaluation.srt         2026-05-21 16:51  3.3K  
 003 Deep Learning Quiz.html                                                                 2026-05-21 16:52   20K  
 003 Deep NLP --& Sequence-to-Sequence Models Exploring Natural Language Processing.mp4      2026-05-21 16:52   13M  
 003 Deep NLP --& Sequence-to-Sequence Models Exploring Natural Language Processing.srt      2026-05-21 16:52  6.4K  
 003 Eclat.zip                                                                               2026-05-21 16:52   49K  
 003 Eclat vs Apriori Simplified Association Rule Learning in Data Mining.mp4                2026-05-21 16:52   32M  
 003 Eclat vs Apriori Simplified Association Rule Learning in Data Mining.srt                2026-05-21 16:52   17K  
 003 Evaluating Regression Models Performance Quiz.html                                      2026-05-21 16:51   20K  
 003 Get all the Datasets, Codes and Slides here.html                                        2026-05-21 16:51  2.7K  
 003 How to Use the Elbow Method in K-Means Clustering A Step-by-Step Guide.mp4              2026-05-21 16:52    0   
 003 K-Fold Cross-Validation in Python Improve Machine Learning Model Performance.mp4        2026-05-21 16:52   45M  
 003 K-Fold Cross-Validation in Python Improve Machine Learning Model Performance.srt        2026-05-21 16:52   27K  
 003 Kernel Trick SVM Machine Learning for Non-Linear Classification.mp4                     2026-05-21 16:52   38M  
 003 Kernel Trick SVM Machine Learning for Non-Linear Classification.srt                     2026-05-21 16:52   19K  
 003 Machine Learning Toolkit Importing NumPy, Matplotlib, and Pandas Libraries.mp4          2026-05-21 16:51   11M  
 003 Machine Learning Toolkit Importing NumPy, Matplotlib, and Pandas Libraries.srt          2026-05-21 16:51  6.2K  
 003 Mastering Hierarchical Clustering Dendrogram Analysis and Threshold Setting.mp4         2026-05-21 16:52   35M  
 003 Mastering Hierarchical Clustering Dendrogram Analysis and Threshold Setting.srt         2026-05-21 16:52   19K  
 003 Neural Network Basics Understanding Activation Functions in Deep Learning.mp4           2026-05-21 16:52   26M  
 003 Neural Network Basics Understanding Activation Functions in Deep Learning.srt           2026-05-21 16:52   14K  
 003 R Tutorial Importing and Viewing Datasets for Data Preprocessing.mp4                    2026-05-21 16:51  8.5M  
 003 R Tutorial Importing and Viewing Datasets for Data Preprocessing.srt                    2026-05-21 16:51  4.7K  
 003 Regression-Bonus.zip                                                                    2026-05-21 16:51  364K  
 003 Step-by-Step Guide Applying LDA for Feature Extraction in Machine Learning.mp4          2026-05-21 16:52   65M  
 003 Step-by-Step Guide Applying LDA for Feature Extraction in Machine Learning.srt          2026-05-21 16:52   34K  
 003 Step 1 - How to Choose the Right Classification Algorithm for Your Dataset.mp4          2026-05-21 16:52   18M  
 003 Step 1 - How to Choose the Right Classification Algorithm for Your Dataset.srt          2026-05-21 16:52   10K  
 003 Step 1 - Python Implementation of Thompson Sampling for Bandit Problems.mp4             2026-05-21 16:52   18M  
 003 Step 1 - Python Implementation of Thompson Sampling for Bandit Problems.srt             2026-05-21 16:52   11K  
 003 Step 1 - Understanding Convolution in CNNs Feature Detection and Feature Maps.mp4       2026-05-21 16:52   51M  
 003 Step 1 - Understanding Convolution in CNNs Feature Detection and Feature Maps.srt       2026-05-21 16:52   29K  
 003 Step 1 - Upper Confidence Bound Solving Multi-Armed Bandit Problem in Python.mp4        2026-05-21 16:52   39M  
 003 Step 1 - Upper Confidence Bound Solving Multi-Armed Bandit Problem in Python.srt        2026-05-21 16:52   28K  
 003 Step 1a - Building a Logistic Regression Model for Customer Behavior Prediction.mp4     2026-05-21 16:51   18M  
 003 Step 1a - Building a Logistic Regression Model for Customer Behavior Prediction.srt     2026-05-21 16:51  9.3K  
 003 Step 1a - Mastering Simple Linear Regression Key Concepts and Implementation.mp4        2026-05-21 16:51   16M  
 003 Step 1a - Mastering Simple Linear Regression Key Concepts and Implementation.srt        2026-05-21 16:51  9.9K  
 003 Step 1a - SVR Model Training Feature Scaling and Dataset Preparation in Python.mp4      2026-05-21 16:51   18M  
 003 Step 1a - SVR Model Training Feature Scaling and Dataset Preparation in Python.srt      2026-05-21 16:51  9.6K  
 003 Step 1b - Setting Up Data for Linear vs Polynomial Regression Comparison.mp4            2026-05-21 16:51   18M  
 003 Step 1b - Setting Up Data for Linear vs Polynomial Regression Comparison.srt            2026-05-21 16:51   11K  
 003 Step 1b Uploading --& Preprocessing Data for Decision Tree Regression in Python.mp4     2026-05-21 16:51   12M  
 003 Step 1b Uploading --& Preprocessing Data for Decision Tree Regression in Python.srt     2026-05-21 16:51  7.0K  
 003 Step 2 - Building a K-Nearest Neighbors Model Scikit-Learn KNeighborsClassifier.mp4     2026-05-21 16:51   18M  
 003 Step 2 - Building a K-Nearest Neighbors Model Scikit-Learn KNeighborsClassifier.srt     2026-05-21 16:51   10K  
 003 Step 2 - Building a Support Vector Machine Model with Sklearn--'s SVC in Python.mp4     2026-05-21 16:51   18M  
 003 Step 2 - Building a Support Vector Machine Model with Sklearn--'s SVC in Python.srt     2026-05-21 16:51   10K  
 003 Step 2 - Creating Generic Code Templates for Various Regression Models in Python.mp4    2026-05-21 16:51   18M  
 003 Step 2 - Creating Generic Code Templates for Various Regression Models in Python.srt    2026-05-21 16:51   10K  
 003 Step 2 - Creating a List of Transactions for Market Basket Analysis in Python.mp4       2026-05-21 16:52   53M  
 003 Step 2 - Creating a List of Transactions for Market Basket Analysis in Python.srt       2026-05-21 16:52   35K  
 003 Step 2 - Creating a Random Forest Regressor Key Parameters and Model Fitting.mp4        2026-05-21 16:51   18M  
 003 Step 2 - Creating a Random Forest Regressor Key Parameters and Model Fitting.srt        2026-05-21 16:51  9.8K  
 003 Step 2 - PCA in Action Reducing Dimensions and Predicting Customer Segments.mp4         2026-05-21 16:52   17M  
 003 Step 2 - PCA in Action Reducing Dimensions and Predicting Customer Segments.srt         2026-05-21 16:52  9.5K  
 003 Step 2 - Training a Decision Tree Classifier Optimizing Performance in Python.mp4       2026-05-21 16:52   18M  
 003 Step 2 - Training a Decision Tree Classifier Optimizing Performance in Python.srt       2026-05-21 16:52   10K  
 003 Step 2 Random Forest Evaluation - Confusion Matrix --& Accuracy Metrics.mp4             2026-05-21 16:52   19M  
 003 Step 2 Random Forest Evaluation - Confusion Matrix --& Accuracy Metrics.srt             2026-05-21 16:52   11K  
 003 Understanding CAP Curves Assessing Model Performance in Data Science 2024.mp4           2026-05-21 16:52   33M  
 003 Understanding CAP Curves Assessing Model Performance in Data Science 2024.srt           2026-05-21 16:52   18K  
 003 Understanding Linear Regression Assumptions Linearity, Homoscedasticity --& More.mp4    2026-05-21 16:51   13M  
 003 Understanding Linear Regression Assumptions Linearity, Homoscedasticity --& More.srt    2026-05-21 16:51  7.8K  
 003 XGBoost Tutorial Implementing Gradient Boosting for Classification Problems.mp4         2026-05-21 16:52   58M  
 003 XGBoost Tutorial Implementing Gradient Boosting for Classification Problems.srt         2026-05-21 16:52   30K  
 004 Eclat Quiz.html                                                                         2026-05-21 16:52   20K  
 004 Feature Scaling in Machine Learning Normalization vs Standardization Explained.mp4      2026-05-21 16:51   16M  
 004 Feature Scaling in Machine Learning Normalization vs Standardization Explained.srt      2026-05-21 16:51   11K  
 004 From IfElse Rules to CNNs Evolution of Natural Language Processing.mp4                  2026-05-21 16:52   35M  
 004 From IfElse Rules to CNNs Evolution of Natural Language Processing.srt                  2026-05-21 16:52   18K  
 004 How Do Neural Networks Work Step-by-Step Guide to Deep Learning Algorithms.mp4          2026-05-21 16:52   39M  
 004 How Do Neural Networks Work Step-by-Step Guide to Deep Learning Algorithms.srt          2026-05-21 16:52   23K  
 004 How to Handle Categorical Variables in Linear Regression Models.mp4                     2026-05-21 16:51   23M  
 004 How to Handle Categorical Variables in Linear Regression Models.srt                     2026-05-21 16:51   12K  
 004 How to Handle Missing Values in R Data Preprocessing for Machine Learning.mp4           2026-05-21 16:51   18M  
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 004 How to Use Google Colab --& Machine Learning Course Folder.mp4                          2026-05-21 16:51   17M  
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 004 LDA Quiz.html                                                                           2026-05-21 16:52   20K  
 004 Mastering CAP Analysis Assessing Classification Models with Accuracy Ratio.mp4          2026-05-21 16:52   19M  
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 004 Optimizing SVM Models with GridSearchCV A Step-by-Step Python Tutorial.mp4              2026-05-21 16:52   68M  
 004 Optimizing SVM Models with GridSearchCV A Step-by-Step Python Tutorial.srt              2026-05-21 16:52   44K  
 004 Step 1 - Building a Random Forest Model in R Regression Tutorial.mp4                    2026-05-21 16:51   18M  
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 004 Step 1 - Getting Started with Hierarchical Clustering Data Setup in Python.mp4          2026-05-21 16:52   18M  
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 004 Step 1 - Machine Learning Basics Importing Datasets Using Pandas read_csv--(--).mp4     2026-05-21 16:51   16M  
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 004 Step 1 - R Tutorial Creating a Decision Tree Classifier with rpart Library.mp4          2026-05-21 16:52   18M  
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 004 Step 1 Random Forest Classifier - From Template to Implementation in R.mp4              2026-05-21 16:52   18M  
 004 Step 1 Random Forest Classifier - From Template to Implementation in R.srt              2026-05-21 16:52   11K  
 004 Step 1b - Applying ReLU to Convolutional Layers Breaking Up Image Linearity.mp4         2026-05-21 16:52   21M  
 004 Step 1b - Applying ReLU to Convolutional Layers Breaking Up Image Linearity.srt         2026-05-21 16:52   11K  
 004 Step 1b - Implementing Logistic Regression in Python Data Preprocessing Guide.mp4       2026-05-21 16:51   12M  
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 004 Step 1b - SVR in Python Importing Libraries and Dataset for Machine Learning.mp4        2026-05-21 16:51   11M  
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 004 Step 1b Data Preprocessing for Linear Regression Import --& Split Data in Python.mp4    2026-05-21 16:51   18M  
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 004 Step 1 in R - Understanding Principal Component Analysis for Feature Extraction.mp4     2026-05-21 16:52   37M  
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 004 Step 2 - Implementing DecisionTreeRegressor A Step-by-Step Guide in Python.mp4          2026-05-21 16:51   15M  
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 004 Step 2 - Optimizing Ad Selection with Thompson Sampling Algorithm in Python.mp4         2026-05-21 16:52   38M  
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 004 Step 2 - Optimizing Model Selection Streamlined Classification Code in Python.mp4       2026-05-21 16:52   18M  
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 004 Step 2 Implementing UCB Algorithm in Python - Data Preparation.mp4                      2026-05-21 16:52   12M  
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 004 Step 2a Linear to Polynomial Regression - Preparing Data for Advanced Models.mp4        2026-05-21 16:51   18M  
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 004 Step 3 - Configuring Apriori Function Support, Confidence, and Lift in Python.mp4       2026-05-21 16:52   39M  
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 004 Step 3 - Understanding Linear SVM Limitations Why It Didn--'t Beat kNN Classifier.mp4   2026-05-21 16:51  8.3M  
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 004 Step 3 - Visualizing KNN Decision Boundaries Python Tutorial for Beginners.mp4          2026-05-21 16:51   18M  
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 004 Step 3 Evaluating Regression Models - R-Squared --& Performance Metrics Explained.mp4   2026-05-21 16:51   12M  
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 004 Understanding Different Types of Kernel Functions for Machine Learning.mp4              2026-05-21 16:52  7.4M  
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 004 Why is Naive Bayes Called Naive Understanding the Algorithm--'s Assumptions.mp4         2026-05-21 16:52   29M  
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 005 Classification-Pros-Cons.pdf                                                            2026-05-21 16:52   29K  
 005 Conclusion of Part 3 - Classification.html                                              2026-05-21 16:52  5.6K  
 005 Evaluating ML Model Accuracy K-Fold Cross-Validation Implementation in R.mp4            2026-05-21 16:52   63M  
 005 Evaluating ML Model Accuracy K-Fold Cross-Validation Implementation in R.srt            2026-05-21 16:52   32K  
 005 Getting Started with R Programming Install R and RStudio on Windows --& Mac.mp4         2026-05-21 16:51   17M  
 005 Getting Started with R Programming Install R and RStudio on Windows --& Mac.srt         2026-05-21 16:51   10K  
 005 How Do Neural Networks Learn Deep Learning Fundamentals Explained.mp4                   2026-05-21 16:52   40M  
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 005 Implementing Bag of Words in NLP A Step-by-Step Tutorial.mp4                            2026-05-21 16:52   53M  
 005 Implementing Bag of Words in NLP A Step-by-Step Tutorial.srt                            2026-05-21 16:52   29K  
 005 Mastering Support Vector Regression Non-Linear SVR with RBF Kernel Explained.mp4        2026-05-21 16:51   34M  
 005 Mastering Support Vector Regression Non-Linear SVR with RBF Kernel Explained.srt        2026-05-21 16:52   18K  
 005 Multicollinearity in Regression Understanding the Dummy Variable Trap.mp4               2026-05-21 16:51  6.8M  
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 005 SVM.zip                                                                                 2026-05-21 16:51  8.3K  
 005 Step 1 - Building a Linear SVM Classifier in R Data Import and Initial Setup.mp4        2026-05-21 16:51   19M  
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 005 Step 1 - Implementing KNN Classification in R Setup --& Data Preparation.mp4            2026-05-21 16:51   19M  
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 005 Step 1 - Naive Bayes in Python Applying ML to Social Network Ads Optimisation.mp4       2026-05-21 16:52   18M  
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 005 Step 1a - Python K-Means Tutorial Identifying Customer Patterns in Mall Data.mp4        2026-05-21 16:52   12M  
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 005 Step 2 - Decision Tree Classifier Optimizing Prediction Boundaries in R.mp4             2026-05-21 16:52   19M  
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 005 Step 2 - Max Pooling in CNNs Enhancing Spatial Invariance for Image Recognition.mp4     2026-05-21 16:52   45M  
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 005 Step 2 - Using Pandas iloc for Feature Selection in ML Data Preprocessing.mp4           2026-05-21 16:51   14M  
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 005 Step 2 - Using preProcess Function in R for PCA Extracting Principal Components.mp4     2026-05-21 16:52   35M  
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 005 Step 2 - Visualizing Random Forest Regression Interpreting Stairs and Splits.mp4        2026-05-21 16:51   17M  
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 005 Step 2 Random Forest Classification - Visualizing Predictions --& Results.mp4           2026-05-21 16:52   19M  
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 005 Step 2a - Building a Simple Linear Regression Model with Scikit-learn in Python.mp4     2026-05-21 16:51   12M  
 005 Step 2a - Building a Simple Linear Regression Model with Scikit-learn in Python.srt     2026-05-21 16:51  6.5K  
 005 Step 2a - Implementing Hierarchical Clustering Building a Dendrogram with SciPy.mp4     2026-05-21 16:52   15M  
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 005 Step 2a - Mastering Feature Scaling for Support Vector Regression in Python.mp4         2026-05-21 16:51   17M  
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 005 Step 2a Python Data Preprocessing for Logistic Regression Dataset Prep.mp4              2026-05-21 16:51   18M  
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 005 Step 2b - Transforming Linear to Polynomial Regression A Step-by-Step Guide.mp4         2026-05-21 16:51   18M  
 005 Step 2b - Transforming Linear to Polynomial Regression A Step-by-Step Guide.srt         2026-05-21 16:51   10K  
 005 Step 3 - Evaluating Classification Algorithms Accuracy Metrics in Python.mp4            2026-05-21 16:52   18M  
 005 Step 3 - Evaluating Classification Algorithms Accuracy Metrics in Python.srt            2026-05-21 16:52   11K  
 005 Step 3 - Implementing Decision Tree Regression in Python Making Predictions.mp4         2026-05-21 16:51   10M  
 005 Step 3 - Implementing Decision Tree Regression in Python Making Predictions.srt         2026-05-21 16:51  5.4K  
 005 Step 3 - Python Code for Thompson Sampling Maximizing Random Beta Distributions.mp4     2026-05-21 16:52   43M  
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 005 Step 3 - Python Code for Upper Confidence Bound Setting Up Key Variables.mp4            2026-05-21 16:52   22M  
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 005 Step 4 - Implementing R-Squared Score in Python with Scikit-Learn--'s Metrics.mp4       2026-05-21 16:51   12M  
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 005 Step 4 Visualizing Apriori Algorithm Results for Product Deals in Python.mp4            2026-05-21 16:52   61M  
 005 Step 4 Visualizing Apriori Algorithm Results for Product Deals in Python.srt            2026-05-21 16:52   34K  
 005 Using R--'s Factor Function to Handle Categorical Variables in Data Analysis.mp4        2026-05-21 16:51   19M  
 005 Using R--'s Factor Function to Handle Categorical Variables in Data Analysis.srt        2026-05-21 16:51  9.6K  
 006 Deep Learning Fundamentals Gradient Descent vs Brute Force Optimization.mp4             2026-05-21 16:52   31M  
 006 Deep Learning Fundamentals Gradient Descent vs Brute Force Optimization.srt             2026-05-21 16:52   18K  
 006 EXTRA Use ChatGPT to Boost your ML Skills.html                                          2026-05-21 16:51  3.2K  
 006 Evaluating Classiification Model Performance Quiz.html                                  2026-05-21 16:52   21K  
 006 Optimizing SVM Models with Grid Search A Step-by-Step R Tutorial.mp4                    2026-05-21 16:52   45M  
 006 Optimizing SVM Models with Grid Search A Step-by-Step R Tutorial.srt                    2026-05-21 16:52   24K  
 006 Step 1 - Creating a Sparse Matrix for Association Rule Mining in R.mp4                  2026-05-21 16:52   61M  
 006 Step 1 - Creating a Sparse Matrix for Association Rule Mining in R.srt                  2026-05-21 16:52   33K  
 006 Step 1 - Getting Started with Natural Language Processing Sentiment Analysis.mp4        2026-05-21 16:52   22M  
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 006 Step 1 - How to Prepare Data for Machine Learning Training vs Test Sets.mp4             2026-05-21 16:51   14M  
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 006 Step 1 - Python Kernel SVM Applying RBF to Solve Non-Linear Classification.mp4          2026-05-21 16:51   18M  
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 006 Step 1 - Selecting the Best Regression Model R-squared Evaluation in Python.mp4         2026-05-21 16:51   15M  
 006 Step 1 - Selecting the Best Regression Model R-squared Evaluation in Python.srt         2026-05-21 16:51  8.3K  
 006 Step 1b K-Means Clustering - Data Preparation in Google ColabJupyter.mp4                2026-05-21 16:52  9.2M  
 006 Step 2 - Building a KNN Classifier Preparing Training and Test Sets in R.mp4            2026-05-21 16:51   14M  
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 006 Step 2 - Python Naive Bayes Training and Evaluating a Classifier on Real Data.mp4       2026-05-21 16:52   19M  
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 006 Step 2 Creating --& Evaluating Linear SVM Classifier in R - Predictions --& Results.mp4 2026-05-21 16:51   18M  
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 006 Step 2b - Data Preprocessing Feature Scaling Techniques for Logistic Regression.mp4     2026-05-21 16:51   18M  
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 006 Step 2b - Machine Learning Basics Training a Linear Regression Model in Python.mp4      2026-05-21 16:51   12M  
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 006 Step 2b - Visualizing Hierarchical Clustering Dendrogram Basics in Python.mp4           2026-05-21 16:52   18M  
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 006 Step 2b Reshaping Data for SVR - Preparing Y Vector for Feature Scaling --(Python.mp4   2026-05-21 16:51   15M  
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 006 Step 3 - Decision Tree Visualization Exploring Splits and Conditions in R.mp4           2026-05-21 16:52   18M  
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 006 Step 3 - Evaluating Random Forest Performance Test Set Results --& Overfitting.mp4      2026-05-21 16:52   17M  
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 006 Step 3 - Fine-Tuning Random Forest From 10 to 500 Trees for Accurate Prediction.mp4     2026-05-21 16:51   17M  
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 006 Step 3 - Implementing PCA and SVM for Customer Segmentation Practical Guide.mp4         2026-05-21 16:52   44M  
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 006 Step 3 - Preprocessing Data Building X and Y Vectors for ML Model Training.mp4          2026-05-21 16:51   18M  
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 006 Step 3 - Understanding Flattening in Convolutional Neural Network Architecture.mp4      2026-05-21 16:52  5.8M  
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 006 Step 3a - Plotting Real vs Predicted Salaries Linear Regression Visualization.mp4       2026-05-21 16:51   18M  
 006 Step 3a - Plotting Real vs Predicted Salaries Linear Regression Visualization.srt       2026-05-21 16:51   10K  
 006 Step 4 - Beating UCB with Thompson Sampling Python Multi-Armed Bandit Tutorial.mp4      2026-05-21 16:52   24M  
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 006 Step 4 - Model Selection Process Evaluating Classification Algorithms.mp4               2026-05-21 16:52  8.2M  
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 006 Step 4 - Python for RL Coding the UCB Algorithm Step-by-Step.mp4                        2026-05-21 16:52   49M  
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 006 Step 4 - Visualizing Decision Tree Regression High-Resolution Results.mp4               2026-05-21 16:51   15M  
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 006 Understanding P-Values and Statistical Significance in Hypothesis Testing.mp4           2026-05-21 16:51   36M  
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 007 Additional Resource for this Section.html                                               2026-05-21 16:52  4.4K  
 007 Backward Elimination Building Robust Multiple Linear Regression Models.mp4              2026-05-21 16:51   48M  
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 007 Decision Tree Classification Quiz.html                                                  2026-05-21 16:52   20K  
 007 For Python learners, summary of Object-oriented programming classes & objects.html      2026-05-21 16:51  3.8K  
 007 PCA Quiz.html                                                                           2026-05-21 16:52   20K  
 007 Random Forest Classification Quiz.html                                                  2026-05-21 16:52   21K  
 007 Random Forest Regression Quiz.html                                                      2026-05-21 16:51   20K  
 007 SVM Quiz.html                                                                           2026-05-21 16:51   21K  
 007 Step 1 - Creating a Decision Tree Regressor Using rpart Function in R.mp4               2026-05-21 16:51   15M  
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 007 Step 2 - Mastering Kernel SVM Improving Accuracy with Non-Linear Classifiers.mp4        2026-05-21 16:51   19M  
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 007 Stochastic vs Batch Gradient Descent Deep Learning Fundamentals.mp4                     2026-05-21 16:52   27M  
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 008 Conclusion of Part 2 - Regression.html                                                  2026-05-21 16:51  3.9K  
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 008 K-Nearest Neighbor Quiz.html                                                            2026-05-21 16:51   20K  
 008 Regression-Bonus.zip                                                                    2026-05-21 16:51  364K  
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 009 Apriori Quiz.html                                                                       2026-05-21 16:52   20K  
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 010 dataset.zip                                                                             2026-05-21 16:52  222M  
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 011 Data Preprocessing Quiz.html                                                            2026-05-21 16:51   21K  
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 011 Kernel SVM Quiz.html                                                                    2026-05-21 16:51   21K  
 011 Naive Bayes Quiz.html                                                                   2026-05-21 16:52   21K  
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 013 Homework Challenge.html                                                                 2026-05-21 16:52  3.5K  
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 014 SVR Quiz.html                                                                           2026-05-21 16:51   20K  
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 014 Upper Confidence Bound Quiz.html                                                        2026-05-21 16:52   20K  
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 015 Hierarchical Clustering Quiz.html                                                       2026-05-21 16:52   20K  
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 016 Clustering-Pros-Cons.pdf                                                                2026-05-21 16:52   26K  
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 017 Simple Linear Regression Quiz.html                                                      2026-05-21 16:51   21K  
 017 Step 2 - Preparing Data Creating Training and Test Sets in Python for ML Models.mp4     2026-05-21 16:51   18M  
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 017 Step 3 - NLP in R Initialising a Corpus for Sentiment Analysis.mp4                      2026-05-21 16:52   21M  
 017 Step 3 - NLP in R Initialising a Corpus for Sentiment Analysis.srt                      2026-05-21 16:52   11K  
 017 Step 3 Building Deep Learning Model - H2O Neural Network Layer Config.mp4               2026-05-21 16:52   40M  
 017 Step 3 Building Deep Learning Model - H2O Neural Network Layer Config.srt               2026-05-21 16:52   24K  
 017 Step 4a - How to Make Single Predictions Using Polynomial Regression in R.mp4           2026-05-21 16:51   12M  
 017 Step 4a - How to Make Single Predictions Using Polynomial Regression in R.srt           2026-05-21 16:51  6.7K  
 018 CNN Quiz.html                                                                           2026-05-21 16:52   20K  
 018 Step 1 - Data Preprocessing for Logistic Regression in R Preparing Your Dataset.mp4     2026-05-21 16:51   19M  
 018 Step 1 - Data Preprocessing for Logistic Regression in R Preparing Your Dataset.srt     2026-05-21 16:51  9.9K  
 018 Step 1a - Data Preprocessing for MLR Handling Categorical Data.mp4                      2026-05-21 16:51   12M  
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 018 Step 3 - Splitting Data into Training and Test Sets Best Practices in Python.mp4        2026-05-21 16:51   12M  
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 018 Step 4 - H2O Deep Learning Making Predictions and Evaluating Model Accuracy.mp4         2026-05-21 16:52   45M  
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 018 Step 4 - NLP Data Cleaning Lowercase Transformation in R for Text Analysis.mp4          2026-05-21 16:52  9.4M  
 018 Step 4 - NLP Data Cleaning Lowercase Transformation in R for Text Analysis.srt          2026-05-21 16:52  5.1K  
 018 Step 4b - Predicting Salaries with Polynomial Regression A Practical Example.mp4        2026-05-21 16:51   12M  
 018 Step 4b - Predicting Salaries with Polynomial Regression A Practical Example.srt        2026-05-21 16:51  6.7K  
 019 Coding Exercise 4 Dataset Splitting and Feature Scaling.html                            2026-05-21 16:51   10K  
 019 Deep Learning Additional Content.html                                                   2026-05-21 16:52  3.2K  
 019 Step 1 - Building a Reusable Framework for Nonlinear Regression Analysis in R.mp4       2026-05-21 16:51   18M  
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 019 Step 1b - Preparing Datasets for Multiple Linear Regression in R.mp4                    2026-05-21 16:51   12M  
 019 Step 1b - Preparing Datasets for Multiple Linear Regression in R.srt                    2026-05-21 16:51  6.4K  
 019 Step 2 - How to Create a Logistic Regression Classifier Using R--'s GLM Function.mp4    2026-05-21 16:51   10M  
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 020 EXTRA CONTENT ANN Case Study.html                                                       2026-05-21 16:52  2.7K  
 020 Step 1 - Feature Scaling in ML Why It--'s Crucial for Data Preprocessing.mp4            2026-05-21 16:51   18M  
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 020 Step 2 - Mastering Regression Model Visualization Increasing Data Resolution.mp4        2026-05-21 16:51   17M  
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 020 Step 2a - Multiple Linear Regression in R Building --& Interpreting the Regressor.mp4   2026-05-21 16:51   17M  
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 020 Step 3 - How to Use R for Logistic Regression Prediction Step-by-Step Guide.mp4         2026-05-21 16:51   17M  
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 021 ANN QUIZ.html                                                                           2026-05-21 16:52   20K  
 021 Polynomial Regression Quiz.html                                                         2026-05-21 16:51   20K  
 021 Step 2 - How to Scale Numeric Features in Python for ML Preprocessing.mp4               2026-05-21 16:51   15M  
 021 Step 2 - How to Scale Numeric Features in Python for ML Preprocessing.srt               2026-05-21 16:51  7.9K  
 021 Step 2b Statistical Significance - P-values --& Stars in Regression.mp4                 2026-05-21 16:51   13M  
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 021 Step 4 - How to Assess Model Accuracy Using a Confusion Matrix in R.mp4                 2026-05-21 16:51  8.7M  
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 021 Step 7 - Simplifying Corpus Using SnowballC Package to Remove Stop Words in R.mp4       2026-05-21 16:52   11M  
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 022 Step 3 - How to Use predict--(--) Function in R for Multiple Linear Regression.mp4      2026-05-21 16:51   14M  
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 022 Step 3 - Implementing Feature Scaling Fit and Transform Methods Explained.mp4           2026-05-21 16:51   12M  
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 022 Step 8 - Enhancing Text Classification Stemming for Efficient Feature Matrices.mp4      2026-05-21 16:52   17M  
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 022 Warning - Update.html                                                                   2026-05-21 16:51  4.0K  
 023 Optimizing Multiple Regression Models Backward Elimination Technique in R.mp4           2026-05-21 16:51   55M  
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 023 Step 4 - Applying the Same Scaler to Training and Test Sets in Python.mp4               2026-05-21 16:51   18M  
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 023 Step 5a - Interpreting Logistic Regression Plots Prediction Regions Explained.mp4       2026-05-21 16:51   18M  
 023 Step 5a - Interpreting Logistic Regression Plots Prediction Regions Explained.srt       2026-05-21 16:51  9.5K  
 023 Step 9 Removing Extra Spaces for NLP Sentiment Analysis Text Cleaning.mp4               2026-05-21 16:52   40M  
 023 Step 9 Removing Extra Spaces for NLP Sentiment Analysis Text Cleaning.srt               2026-05-21 16:52   22K  
 024 Coding exercise 5 Feature scaling for Machine Learning.html                             2026-05-21 16:51   92K  
 024 Mastering Feature Selection Backward Elimination in R for Linear Regression.mp4         2026-05-21 16:51   23M  
 024 Mastering Feature Selection Backward Elimination in R for Linear Regression.srt         2026-05-21 16:51   15K  
 024 Step 5b Logistic Regression - Linear Classifiers --& Prediction Boundaries.mp4          2026-05-21 16:51   19M  
 024 Step 5b Logistic Regression - Linear Classifiers --& Prediction Boundaries.srt          2026-05-21 16:51  9.9K  
 024 Step 10 - Building a Document-Term Matrix for NLP Text Classification.mp4               2026-05-21 16:52   55M  
 024 Step 10 - Building a Document-Term Matrix for NLP Text Classification.srt               2026-05-21 16:52   30K  
 025 Homework Challenge.html                                                                 2026-05-21 16:52  3.7K  
 025 Multiple Linear Regression in R - Automatic Backward Elimination.html                   2026-05-21 16:51  3.0K  
 025 Step 5c - Data Viz in R Colorizing Pixels for Logistic Regression.mp4                   2026-05-21 16:51   16M  
 025 Step 5c - Data Viz in R Colorizing Pixels for Logistic Regression.srt                   2026-05-21 16:51  8.2K  
 026 Logistic Regression in R - Step 5 (Colour-blind friendly image).html                    2026-05-21 16:51  3.0K  
 026 Multiple Linear Regression Quiz.html                                                    2026-05-21 16:51   21K  
 026 Natural Language Processing Quiz.html                                                   2026-05-21 16:52   20K  
 027 Optimizing R Scripts for Machine Learning Building a Classification Template.mp4        2026-05-21 16:51   17M  
 027 Optimizing R Scripts for Machine Learning Building a Classification Template.srt        2026-05-21 16:51  9.3K  
 028 Machine Learning Regression and Classification EXTRA.html                               2026-05-21 16:51  3.0K  
 029 Logistic Regression Quiz.html                                                           2026-05-21 16:51   21K  
 030 EXTRA CONTENT Logistic Regression Practical Case Study.html                             2026-05-21 16:51  2.9K  
 external-links.txt                                                                          2026-05-21 16:51   70   

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