Machine Learning Hands On Python and In Data Science |
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/.../006 Welcome to Part 1 - Data Preprocessing/ |
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/38 Model Selection/ |
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/.../208 k-Fold Cross Validation in Python/ |
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/.../209 Grid Search in Python - Step 1/ |
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/34 Principal Component Analysis PCA/ |
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/.../202 PCA in Python - Step 1/ |
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/03 ------------------------------ Part 2 Regression ------------------------------/ |
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/27 Upper Confidence Bound UCB/ |
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/.../143 Upper Confidence Bound in R - Step 1/ |
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/.../139 Upper Confidence Bound in Python - Step 1/ |
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/21 K-Means Clustering/ |
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/.../115 K-Means Clustering in Python/ |
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/.../116 K-Means Clustering in R/ |
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/01 Welcome to the course/ |
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/captions/ |
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/30 ---------------------------- Part 8 Deep Learning ----------------------------/ |
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/18 Random Forest Classification/ |
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/.../104 Random Forest Classification in Python/ |
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/.../105 Random Forest Classification in R/ |
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/23 ---------------------- Part 5 Association Rule Learning ----------------------/ |
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/11 ---------------------------- Part 3 Classification ----------------------------/ |
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/40 Bonus Lectures/ |
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/07 Support Vector Regression SVR/ |
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/.../056 SVR in Python/ |
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/.../057 SVR in R/ |
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/39 XGBoost/ |
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/.../211 XGBoost in Python - Step 1/ |
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/.../213 Download all the Codes and Datasets Here/ |
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/32 Convolutional Neural Networks/ |
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/.../190 CNN in Python - Step 1/ |
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/17 Decision Tree Classification/ |
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/.../101 Decision Tree Classification in Python/ |
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/.../102 Decision Tree Classification in R/ |
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/35 Linear Discriminant Analysis LDA/ |
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/.../205 LDA in Python/ |
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/20 ---------------------------- Part 4 Clustering ----------------------------/ |
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/16 Naive Bayes/ |
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/.../098 Naive Bayes in Python/ |
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/.../099 Naive Bayes in R/ |
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/12 Logistic Regression/ |
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/.../081 R Classification Template/ |
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/.../070 Logistic Regression in Python - Step 1/ |
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/.../075 Python Classification Template/ |
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/.../076 Logistic Regression in R - Step 1/ |
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/04 Simple Linear Regression/ |
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/.../020 Simple Linear Regression in Python - Step 1/ |
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/.../024 Simple Linear Regression in R - Step 1/ |
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/.../206 Kernel PCA in Python/ |
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/36 Kernel PCA/ |
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/08 Decision Tree Regression/ |
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/.../059 Decision Tree Regression in Python/ |
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/.../060 Decision Tree Regression in R/ |
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/02 -------------------------- Part 1 Data Preprocessing --------------------------/ |
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013 Splitting the Dataset into the Training set and Test set.mp4 |
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010 For Python learners summary of Object-oriented programming classes objects.html |
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013 Splitting the Dataset into the Training set and Test set-EN.srt |
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/.../015 And here is our Data Preprocessing Template/ |
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/.../011 Missing Data/ |
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/.../007 Get the dataset/ |
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/.../012 Categorical Data/ |
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/28 Thompson Sampling/ |
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/.../149 Thompson Sampling in R - Step 1/ |
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/.../147 Thompson Sampling in Python - Step 1/ |
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/29 --------------------- Part 7 Natural Language Processing ---------------------/ |
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/.../163 Natural Language Processing in R - Step 1/ |
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/.../152 Natural Language Processing in Python - Step 1/ |
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/15 Kernel SVM/ |
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/.../093 Kernel SVM in R/ |
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/.../092 Kernel SVM in Python/ |
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/24 Apriori/ |
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/24 Apriori/captions/ |
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/.../134 Apriori in Python - Step 1/ |
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/.../131 Apriori in R - Step 1/ |
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/22 Hierarchical Clustering/ |
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/.../120 HC in Python - Step 1/ |
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/.../125 HC in R - Step 1/ |
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/37 --------------------- Part 10 Model Selection Boosting ---------------------/ |
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/13 K-Nearest Neighbors K-NN/ |
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/.../083 K-NN in Python/ |
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/.../084 K-NN in R/ |
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/26 ------------------------ Part 6 Reinforcement Learning ------------------------/ |
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/33 ----------------------- Part 9 Dimensionality Reduction -----------------------/ |
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/19 Evaluating Classification Models Performance/ |
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/09 Random Forest Regression/ |
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/.../062 Random Forest Regression in Python/ |
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/.../063 Random Forest Regression in R/ |
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/05 Multiple Linear Regression/ |
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043 Multiple Linear Regression in R - Backward Elimination - HOMEWORK.mp4 |
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038 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK.mp4 |
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039 Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp4 |
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037 Multiple Linear Regression in Python - Backward Elimination - Preparation.mp4 |
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044 Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp4 |
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043 Multiple Linear Regression in R - Backward Elimination - HOMEWORK-EN.srt |
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037 Multiple Linear Regression in Python - Backward Elimination - Preparation-EN.srt |
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039 Multiple Linear Regression in Python - Backward Elimination - Homework Solution-EN.srt |
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/.../039 Multiple Linear Regression in Python - Backward Elimination - Homework Solution/ |
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/.../033 Multiple Linear Regression Intuition - Step 5/ |
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/.../034 Multiple Linear Regression in Python - Step 1/ |
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/.../040 Multiple Linear Regression in R - Step 1/ |
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/.../044 Multiple Linear Regression in R - Backward Elimination - Homework Solution/ |
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/14 Support Vector Machine SVM/ |
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/.../087 SVM in R/ |
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/.../086 SVM in Python/ |
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/31 Artificial Neural Networks/ |
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176 ANN in Python - Step 1 - Installing Theano Tensorflow and Keras.mp4 |
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/06 Polynomial Regression/ |
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/.../046 Polynomial Regression in Python - Step 1/ |
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/.../050 Python Regression Template/ |
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/.../051 Polynomial Regression in R - Step 1/ |
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/.../055 R Regression Template/ |
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/10 Evaluating Regression Models Performance/ |
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066 Evaluating Regression Models Performance - Homeworks Final Part.mp4 |
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066 Evaluating Regression Models Performance - Homeworks Final Part-EN.srt |
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/25 Eclat/captions/ |
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/.../137 Eclat in R/ |
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/25 Eclat/ |
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