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Getting Started
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02 Welcome to Data Preprocessing
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04 Simple Linear Regression
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05 Multiple Linear Regression
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06 Polynomial Regression
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07 SVR
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08 Decision Tree Regression Intuition
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08_1 Decision Tree Regression in Python
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08_2 Decision Tree Regression in R
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09 Random Forest Regression Intuition,PYTHON,R
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10 evaluating regression models performance
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12 Logistic Regression
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13 K-Nearest Neighbor in Intuition,python,R
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14 SVM in Intuition, python, R
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15 Kernel SVM in Intuition, python, R
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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 K-Means Clustering Intuition
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21 K-Means Random Initialization Trap
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22 K-Means Selecting The Number Of Clusters
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23 K-Means Clustering in Python
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24 K-Means Clustering in R
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25 K-Means Clustering in R
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26 Hierarchical Clustering Intuition
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27 HC in Python - Step 1
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28 HC in Python - Step 2
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29 HC in Python - Step 3
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30 HC in Python - Step 4
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31 HC in Python - Step 5
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32 HC in R - Step 1
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33 HC in R - Step 2
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34 HC in R - Step 3
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35 HC in R - Step 4
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36 HC in R - Step 5
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37 Apriori Intuition
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38 Apriori in R - Step 1
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39 Apriori in R - Step 2
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40 Apriori in R - Step 3
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41 Apriori in Python - Step 1
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42 Apriori in Python - Step 2
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43 Apriori in Python - Step 3
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44 Eclat Intuition
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45 Eclat in R
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46 The Multi-Armed Bandit Problem
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47 Upper Confidence Bound (UCB) Intuition
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48 Upper Confidence Bound in Python - Step 1
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49 Upper Confidence Bound in Python - Step 2
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50 Upper Confidence Bound in Python - Step 3
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51 Upper Confidence Bound in Python - Step 4
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52 Upper Confidence Bound in R - Step 1
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53 Upper Confidence Bound in R - Step 2
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54 Upper Confidence Bound in R - Step 3
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55 Upper Confidence Bound in R - Step 4
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56 Thompson Sampling Intuition
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57 Algorithm Comparison_ UCB vs Thompson Sampling
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58 Thompson Sampling in Python - Step 1
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59 Thompson Sampling in Python - Step 2
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60 Thompson Sampling in R - Step 1
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61 Thompson Sampling in R - Step 2
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62 Plan of attack
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63 The Neuron
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64 The Activation Function
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65 How do Neural Networks work_
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66 How do Neural Networks learn_
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67 Gradient Descent
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68 Stochastic Gradient Descent
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69 Backpropagation
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70 Business Problem Description
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72 ANN in Python - Step 1 - Installing Theano_ Tensorflow and Keras
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73 ANN in Python - Step 2
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74 ANN in Python - Step 3
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75 ANN in Python - Step 4
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76 ANN in Python - Step 5
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77 ANN in Python - Step 6
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78 ANN in Python - Step 7
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79 ANN in Python - Step 8
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80 ANN in Python - Step 9
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81 ANN in Python - Step 10
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82 ANN in R - Step 1
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83 ANN in R - Step 2
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84 ANN in R - Step 3
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85 ANN in R - Step 4 (Last step)
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86 Plan of attack
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87 What are convolutional neural networks_
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88 Step 1 - Convolution Operation
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89 Step 1(b) - ReLU Layer
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90 Step 2 - Pooling
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91 Step 3 - Flattening
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92 Step 4 - Full Connection
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93 Summary
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94 Softmax & Cross-Entropy
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95 CNN in Python - Step 1
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96 CNN in Python - Step 2
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97 CNN in Python - Step 3
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98 CNN in Python - Step 4
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99 CNN in Python - Step 5
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100 CNN in Python - Step 6
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101 CNN in Python - Step 7
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102 CNN in Python - Step 8
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103 CNN in Python - Step 9
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104 CNN in Python - Step 10
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105 PCA in Python - Step 1
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106 PCA in Python - Step 2
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107 PCA in Python - Step 3
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108 PCA in R - Step 1
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109 PCA in R - Step 2
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110 PCA in R - Step 3
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111 LDA in Python
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112 LDA in R
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113 Kernel PCA in Python
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114 Kernel PCA in R
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115 k-Fold Cross Validation in Python
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116 k-Fold Cross Validation in R
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117 Grid Search in Python - Step 1
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118 Grid Search in Python - Step 2
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119 Grid Search in R
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120 XGBoost in Python - Step 1
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121 XGBoost in Python - Step 2
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122 XGBoost in R
Preview - Machine Learning - Beginner to Expert
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