Machine Learning Hands On Python In Data Science |
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/.../36 Kernel PCA/ |
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/.../01 Welcome to the course!/ |
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003 Installing R and R Studio (MAC & Windows)-subtitle-en.srt |
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005 Installing Python and Anaconda (MAC & Windows)-subtitle-en.srt |
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/.../02 -------------------- Part 1_ Data Preprocessing --------------------/ |
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011 For Python learners_ summary of Object-oriented programming_ classes & objects.html |
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014 Splitting the Dataset into the Training set and Test set-subtitle-en.srt |
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014 Splitting the Dataset into the Training set and Test set.mp4 |
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016 And here is our Data Preprocessing Template!-subtitle-en.srt |
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/.../03 -------------------- Part 2_ Regression --------------------/ |
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/.../04 Simple Linear Regression/ |
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020 Simple Linear Regression Intuition - Step 1-subtitle-en.srt |
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021 Simple Linear Regression Intuition - Step 2-subtitle-en.srt |
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022 Simple Linear Regression in Python - Step 1-subtitle-en.srt |
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023 Simple Linear Regression in Python - Step 2-subtitle-en.srt |
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024 Simple Linear Regression in Python - Step 3-subtitle-en.srt |
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025 Simple Linear Regression in Python - Step 4-subtitle-en.srt |
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/.../05 Multiple Linear Regression/ |
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032 Multiple Linear Regression Intuition - Step 1-subtitle-en.srt |
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033 Multiple Linear Regression Intuition - Step 2-subtitle-en.srt |
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034 Multiple Linear Regression Intuition - Step 3-subtitle-en.srt |
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035 Multiple Linear Regression Intuition - Step 4-subtitle-en.srt |
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036 Multiple Linear Regression Intuition - Step 5-subtitle-en.srt |
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037 Multiple Linear Regression in Python - Step 1-subtitle-en.srt |
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038 Multiple Linear Regression in Python - Step 2-subtitle-en.srt |
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039 Multiple Linear Regression in Python - Step 3-subtitle-en.srt |
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040 Multiple Linear Regression in Python - Backward Elimination - Preparation-subtitle-en.srt |
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040 Multiple Linear Regression in Python - Backward Elimination - Preparation.mp4 |
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041 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK !-subtitle-en.srt |
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041 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK !.mp4 |
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042 Multiple Linear Regression in Python - Backward Elimination - Homework Solution-subtitle-en.srt |
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042 Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp4 |
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043 Multiple Linear Regression in R - Step 1-subtitle-en.srt |
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044 Multiple Linear Regression in R - Step 2-subtitle-en.srt |
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045 Multiple Linear Regression in R - Step 3-subtitle-en.srt |
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046 Multiple Linear Regression in R - Backward Elimination - HOMEWORK !-subtitle-en.srt |
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046 Multiple Linear Regression in R - Backward Elimination - HOMEWORK !.mp4 |
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047 Multiple Linear Regression in R - Backward Elimination - Homework Solution-subtitle-en.srt |
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047 Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp4 |
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/.../06 Polynomial Regression/ |
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050 Polynomial Regression in Python - Step 1-subtitle-en.srt |
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051 Polynomial Regression in Python - Step 2-subtitle-en.srt |
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052 Polynomial Regression in Python - Step 3-subtitle-en.srt |
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053 Polynomial Regression in Python - Step 4-subtitle-en.srt |
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/.../07 Support Vector Regression (SVR)/ |
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/.../08 Decision Tree Regression/ |
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/.../09 Random Forest Regression/ |
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/.../10 Evaluating Regression Models Performance/ |
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073 Evaluating Regression Models Performance - Homework's Final Part-subtitle-en.srt |
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073 Evaluating Regression Models Performance - Homework's Final Part.mp4 |
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074 Interpreting Linear Regression Coefficients-subtitle-en.srt |
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/.../11 -------------------- Part 3_ Classification --------------------/ |
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/.../12 Logistic Regression/ |
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/.../13 K-Nearest Neighbors (K-NN)/ |
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/.../14 Support Vector Machine (SVM)/ |
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/.../15 Kernel SVM/ |
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/.../16 Naive Bayes/ |
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108 Naive Bayes Intuition (Challenge Reveal)-subtitle-en.srt |
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/.../17 Decision Tree Classification/ |
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/.../18 Random Forest Classification/ |
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/.../19 Evaluating Classification Models Performance/ |
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/.../20 -------------------- Part 4_ Clustering --------------------/ |
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/.../21 K-Means Clustering/ |
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130 K-Means Selecting The Number Of Clusters-subtitle-en.srt |
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/.../22 Hierarchical Clustering/ |
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135 Hierarchical Clustering How Dendrograms Work-subtitle-en.srt |
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136 Hierarchical Clustering Using Dendrograms-subtitle-en.srt |
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/.../23 -------------------- Part 5_ Association Rule Learning --------------------/ |
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/24 Apriori/ |
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/25 Eclat/ |
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/.../26 -------------------- Part 6_ Reinforcement Learning --------------------/ |
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/.../27 Upper Confidence Bound (UCB)/ |
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165 Upper Confidence Bound in Python - Step 1-subtitle-en.srt |
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166 Upper Confidence Bound in Python - Step 2-subtitle-en.srt |
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167 Upper Confidence Bound in Python - Step 3-subtitle-en.srt |
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168 Upper Confidence Bound in Python - Step 4-subtitle-en.srt |
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/.../28 Thompson Sampling/ |
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174 Algorithm Comparison_ UCB vs Thompson Sampling-subtitle-en.srt |
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/.../29 -------------------- Part 7_ Natural Language Processing --------------------/ |
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182 Natural Language Processing in Python - Step 1-subtitle-en.srt |
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183 Natural Language Processing in Python - Step 2-subtitle-en.srt |
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184 Natural Language Processing in Python - Step 3-subtitle-en.srt |
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185 Natural Language Processing in Python - Step 4-subtitle-en.srt |
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186 Natural Language Processing in Python - Step 5-subtitle-en.srt |
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188 Natural Language Processing in Python - Step 7-subtitle-en.srt |
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189 Natural Language Processing in Python - Step 8-subtitle-en.srt |
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190 Natural Language Processing in Python - Step 9-subtitle-en.srt |
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191 Natural Language Processing in Python - Step 10-subtitle-en.srt |
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193 Natural Language Processing in R - Step 1-subtitle-en.srt |
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194 Natural Language Processing in R - Step 2-subtitle-en.srt |
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200 Natural Language Processing in R - Step 8-subtitle-en.srt |
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202 Natural Language Processing in R - Step 10-subtitle-en.srt |
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/.../30 -------------------- Part 8_ Deep Learning --------------------/ |
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/.../31 Artificial Neural Networks/ |
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216 ANN in Python - Step 1 - Installing Theano_ Tensorflow and Keras-subtitle-en.srt |
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216 ANN in Python - Step 1 - Installing Theano_ Tensorflow and Keras.mp4 |
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/.../32 Convolutional Neural Networks/ |
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/.../33 -------------------- Part 9_ Dimensionality Reduction --------------------/ |
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/.../34 Principal Component Analysis (PCA)/ |
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/.../35 Linear Discriminant Analysis (LDA)/ |
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/.../37 -------------------- Part 10_ Model Selection & Boosting --------------------/ |
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/.../38 Model Selection/ |
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/39 XGBoost/ |
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/.../40 Bonus Lectures/ |
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/[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/ |
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