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| 001 Applications of Machine Learning.mp4 |
9.81Мб |
| 001 Data Preprocessing.html |
4.52Кб |
| 002 Simple Linear Regression.html |
4.38Кб |
| 002 Why Machine Learning is the Future.mp4 |
14.48Мб |
| 003 Installing R and R Studio MAC Windows.mp4 |
23.21Мб |
| 003 Installing R and R Studio MAC Windows-EN.srt |
8.23Кб |
| 003 Multiple Linear Regression.html |
4.56Кб |
| 004 Installing Python and Anaconda MAC Windows.mp4 |
23.96Мб |
| 004 Installing Python and Anaconda MAC Windows-EN.srt |
10.97Кб |
| 004 Logistic Regression.html |
3.98Кб |
| 005 BONUS Meet your instructors.html |
1.33Кб |
| 005 K-Nearest Neighbor.html |
3.96Кб |
| 006 K-Means Clustering.html |
3.99Кб |
| 006 Welcome to Part 1 - Data Preprocessing.mp4 |
3.52Мб |
| 006 Welcome to Part 1 - Data Preprocessing-EN.srt |
2.28Кб |
| 007 Get the dataset.mp4 |
7.24Мб |
| 007 Hierarchical Clustering.html |
4.25Кб |
| 008 Importing the Libraries.mp4 |
13.56Мб |
| 009 Importing the Dataset.mp4 |
28.64Мб |
| 009 Importing the Dataset-EN.srt |
16.59Кб |
| 010 For Python learners summary of Object-oriented programming classes objects.html |
1.74Кб |
| 011 Missing Data.mp4 |
39.32Мб |
| 011 Missing Data-EN.srt |
20.99Кб |
| 012 Categorical Data.mp4 |
52.88Мб |
| 012 Categorical Data-EN.srt |
23.85Кб |
| 013 Splitting the Dataset into the Training set and Test set.mp4 |
50.91Мб |
| 013 Splitting the Dataset into the Training set and Test set-EN.srt |
23.91Кб |
| 014 Feature Scaling.mp4 |
44.59Мб |
| 014 Feature Scaling-EN.srt |
20.78Кб |
| 015 And here is our Data Preprocessing Template.mp4 |
25.86Мб |
| 015 And here is our Data Preprocessing Template-EN.srt |
12.67Кб |
| 016 Welcome to Part 2 - Regression.html |
1.12Кб |
| 017 Dataset Business Problem Description.mp4 |
7.77Мб |
| 017 Dataset Business Problem Description-EN.srt |
3.70Кб |
| 018 Simple Linear Regression Intuition - Step 1.mp4 |
10.52Мб |
| 018 Simple Linear Regression Intuition - Step 1-EN.srt |
7.50Кб |
| 019 Simple Linear Regression Intuition - Step 2.mp4 |
5.99Мб |
| 019 Simple Linear Regression Intuition - Step 2-EN.srt |
3.93Кб |
| 020 Simple Linear Regression in Python - Step 1.mp4 |
27.92Мб |
| 020 Simple Linear Regression in Python - Step 1-EN.srt |
13.87Кб |
| 021 Simple Linear Regression in Python - Step 2.mp4 |
24.62Мб |
| 021 Simple Linear Regression in Python - Step 2-EN.srt |
11.11Кб |
| 022 Simple Linear Regression in Python - Step 3.mp4 |
20.55Мб |
| 022 Simple Linear Regression in Python - Step 3-EN.srt |
8.88Кб |
| 023 Simple Linear Regression in Python - Step 4.mp4 |
39.37Мб |
| 023 Simple Linear Regression in Python - Step 4-EN.srt |
20.03Кб |
| 024 Simple Linear Regression in R - Step 1.mp4 |
11.52Мб |
| 024 Simple Linear Regression in R - Step 1-EN.srt |
6.85Кб |
| 025 Simple Linear Regression in R - Step 2.mp4 |
24.87Мб |
| 025 Simple Linear Regression in R - Step 2-EN.srt |
7.99Кб |
| 026 Simple Linear Regression in R - Step 3.mp4 |
11.42Мб |
| 026 Simple Linear Regression in R - Step 3-EN.srt |
4.93Кб |
| 027 Simple Linear Regression in R - Step 4.mp4 |
49.16Мб |
| 027 Simple Linear Regression in R - Step 4-EN.srt |
21.21Кб |
| 028 Dataset Business Problem Description.mp4 |
12.56Мб |
| 028 Dataset Business Problem Description-EN.srt |
5.11Кб |
| 029 Multiple Linear Regression Intuition - Step 1.mp4 |
2.00Мб |
| 029 Multiple Linear Regression Intuition - Step 1-EN.srt |
1.42Кб |
| 030 Multiple Linear Regression Intuition - Step 2.mp4 |
2.03Мб |
| 030 Multiple Linear Regression Intuition - Step 2-EN.srt |
1.33Кб |
| 031 Multiple Linear Regression Intuition - Step 3.mp4 |
16.59Мб |
| 031 Multiple Linear Regression Intuition - Step 3-EN.srt |
9.71Кб |
| 032 Multiple Linear Regression Intuition - Step 4.mp4 |
5.34Мб |
| 032 Multiple Linear Regression Intuition - Step 4-EN.srt |
3.16Кб |
| 033 Multiple Linear Regression Intuition - Step 5.mp4 |
32.80Мб |
| 033 Multiple Linear Regression Intuition - Step 5-EN.srt |
21.05Кб |
| 034 Multiple Linear Regression in Python - Step 1.mp4 |
52.18Мб |
| 034 Multiple Linear Regression in Python - Step 1-EN.srt |
21.51Кб |
| 035 Multiple Linear Regression in Python - Step 2.mp4 |
9.84Мб |
| 035 Multiple Linear Regression in Python - Step 2-EN.srt |
3.62Кб |
| 036 Multiple Linear Regression in Python - Step 3.mp4 |
25.48Мб |
| 036 Multiple Linear Regression in Python - Step 3-EN.srt |
7.37Кб |
| 037 Multiple Linear Regression in Python - Backward Elimination - Preparation.mp4 |
54.54Мб |
| 037 Multiple Linear Regression in Python - Backward Elimination - Preparation-EN.srt |
17.67Кб |
| 038 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK.mp4 |
59.14Мб |
| 038 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK-EN.srt |
17.56Кб |
| 039 Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp4 |
54.26Мб |
| 039 Multiple Linear Regression in Python - Backward Elimination - Homework Solution-EN.srt |
12.67Кб |
| 040 Multiple Linear Regression in R - Step 1.mp4 |
23.44Мб |
| 040 Multiple Linear Regression in R - Step 1-EN.srt |
10.49Кб |
| 041 Multiple Linear Regression in R - Step 2.mp4 |
45.22Мб |
| 041 Multiple Linear Regression in R - Step 2-EN.srt |
13.83Кб |
| 042 Multiple Linear Regression in R - Step 3.mp4 |
13.85Мб |
| 042 Multiple Linear Regression in R - Step 3-EN.srt |
6.28Кб |
| 043 Multiple Linear Regression in R - Backward Elimination - HOMEWORK.mp4 |
50.78Мб |
| 043 Multiple Linear Regression in R - Backward Elimination - HOMEWORK-EN.srt |
24.56Кб |
| 044 Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp4 |
21.95Мб |
| 044 Multiple Linear Regression in R - Backward Elimination - Homework Solution-EN.srt |
10.58Кб |
| 045 Polynomial Regression Intuition.mp4 |
9.44Мб |
| 045 Polynomial Regression Intuition-EN.srt |
7.06Кб |
| 046 Polynomial Regression in Python - Step 1.mp4 |
31.64Мб |
| 046 Polynomial Regression in Python - Step 1-EN.srt |
15.68Кб |
| 047 Polynomial Regression in Python - Step 2.mp4 |
35.11Мб |
| 047 Polynomial Regression in Python - Step 2-EN.srt |
15.33Кб |
| 048 Polynomial Regression in Python - Step 3.mp4 |
54.50Мб |
| 048 Polynomial Regression in Python - Step 3-EN.srt |
27.83Кб |
| 049 Polynomial Regression in Python - Step 4.mp4 |
17.65Мб |
| 049 Polynomial Regression in Python - Step 4-EN.srt |
7.79Кб |
| 050 Python Regression Template.mp4 |
36.78Мб |
| 050 Python Regression Template-EN.srt |
14.66Кб |
| 051 Polynomial Regression in R - Step 1.mp4 |
21.21Мб |
| 051 Polynomial Regression in R - Step 1-EN.srt |
12.65Кб |
| 052 Polynomial Regression in R - Step 2.mp4 |
32.28Мб |
| 052 Polynomial Regression in R - Step 2-EN.srt |
13.71Кб |
| 053 Polynomial Regression in R - Step 3.mp4 |
54.80Мб |
| 053 Polynomial Regression in R - Step 3-EN.srt |
27.43Кб |
| 054 Polynomial Regression in R - Step 4.mp4 |
28.52Мб |
| 054 Polynomial Regression in R - Step 4-EN.srt |
13.74Кб |
| 055 R Regression Template.mp4 |
31.33Мб |
| 055 R Regression Template-EN.srt |
16.71Кб |
| 056 SVR in Python.mp4 |
60.22Мб |
| 056 SVR in Python-EN.srt |
27.44Кб |
| 057 SVR in R.mp4 |
33.73Мб |
| 057 SVR in R-EN.srt |
16.60Кб |
| 058 Decision Tree Regression Intuition.mp4 |
25.33Мб |
| 058 Decision Tree Regression Intuition-EN.srt |
15.24Кб |
| 059 Decision Tree Regression in Python.mp4 |
43.44Мб |
| 059 Decision Tree Regression in Python-EN.srt |
21.12Кб |
| 060 Decision Tree Regression in R.mp4 |
56.23Мб |
| 060 Decision Tree Regression in R-EN.srt |
28.54Кб |
| 061 Random Forest Regression Intuition.mp4 |
15.65Мб |
| 061 Random Forest Regression Intuition-EN.srt |
9.29Кб |
| 062 Random Forest Regression in Python.mp4 |
52.69Мб |
| 062 Random Forest Regression in Python-EN.srt |
24.45Кб |
| 063 Random Forest Regression in R.mp4 |
51.86Мб |
| 063 Random Forest Regression in R-EN.srt |
25.09Кб |
| 064 R-Squared Intuition.mp4 |
9.80Мб |
| 064 R-Squared Intuition-EN.srt |
6.45Кб |
| 065 Adjusted R-Squared Intuition.mp4 |
21.41Мб |
| 065 Adjusted R-Squared Intuition-EN.srt |
12.98Кб |
| 066 Evaluating Regression Models Performance - Homeworks Final Part.mp4 |
28.35Мб |
| 066 Evaluating Regression Models Performance - Homeworks Final Part-EN.srt |
11.58Кб |
| 067 Interpreting Linear Regression Coefficients.mp4 |
27.38Мб |
| 067 Interpreting Linear Regression Coefficients-EN.srt |
12.01Кб |
| 068 Welcome to Part 3 - Classification.html |
1.08Кб |
| 069 Logistic Regression Intuition.mp4 |
29.17Мб |
| 070 Logistic Regression in Python - Step 1.mp4 |
16.84Мб |
| 070 Logistic Regression in Python - Step 1-EN.srt |
7.76Кб |
| 071 Logistic Regression in Python - Step 2.mp4 |
11.10Мб |
| 071 Logistic Regression in Python - Step 2-EN.srt |
4.41Кб |
| 072 Logistic Regression in Python - Step 3.mp4 |
7.98Мб |
| 072 Logistic Regression in Python - Step 3-EN.srt |
3.65Кб |
| 073 Logistic Regression in Python - Step 4.mp4 |
13.87Мб |
| 073 Logistic Regression in Python - Step 4-EN.srt |
6.36Кб |
| 074 Logistic Regression in Python - Step 5.mp4 |
53.15Мб |
| 074 Logistic Regression in Python - Step 5-EN.srt |
26.47Кб |
| 075 Python Classification Template.mp4 |
17.58Мб |
| 075 Python Classification Template-EN.srt |
5.47Кб |
| 076 Logistic Regression in R - Step 1.mp4 |
15.72Мб |
| 076 Logistic Regression in R - Step 1-EN.srt |
7.91Кб |
| 077 Logistic Regression in R - Step 2.mp4 |
14.85Мб |
| 077 Logistic Regression in R - Step 2-EN.srt |
3.91Кб |
| 078 Logistic Regression in R - Step 3.mp4 |
27.44Мб |
| 078 Logistic Regression in R - Step 3-EN.srt |
6.64Кб |
| 079 Logistic Regression in R - Step 4.mp4 |
11.73Мб |
| 079 Logistic Regression in R - Step 4-EN.srt |
3.54Кб |
| 080 Logistic Regression in R - Step 5.mp4 |
93.76Мб |
| 080 Logistic Regression in R - Step 5-EN.srt |
25.99Кб |
| 081 R Classification Template.mp4 |
17.50Мб |
| 081 R Classification Template-EN.srt |
6.05Кб |
| 082 K-Nearest Neighbor Intuition.mp4 |
10.48Мб |
| 082 K-Nearest Neighbor Intuition-EN.srt |
7.22Кб |
| 083 K-NN in Python.mp4 |
46.98Мб |
| 083 K-NN in Python-EN.srt |
18.75Кб |
| 084 K-NN in R.mp4 |
55.77Мб |
| 084 K-NN in R-EN.srt |
20.67Кб |
| 085 SVM Intuition.mp4 |
19.92Мб |
| 085 SVM Intuition-EN.srt |
14.18Кб |
| 086 SVM in Python.mp4 |
41.71Мб |
| 086 SVM in Python-EN.srt |
16.90Кб |
| 087 SVM in R.mp4 |
65.31Мб |
| 087 SVM in R-EN.srt |
16.36Кб |
| 088 Kernel SVM Intuition.mp4 |
6.42Мб |
| 089 Mapping to a higher dimension.mp4 |
15.39Мб |
| 090 The Kernel Trick.mp4 |
34.72Мб |
| 091 Types of Kernel Functions.mp4 |
15.71Мб |
| 092 Kernel SVM in Python.mp4 |
54.86Мб |
| 092 Kernel SVM in Python-EN.srt |
24.97Кб |
| 093 Kernel SVM in R.mp4 |
52.82Мб |
| 093 Kernel SVM in R-EN.srt |
22.65Кб |
| 094 Bayes Theorem.mp4 |
50.43Мб |
| 094 Bayes Theorem-EN.srt |
30.66Кб |
| 095 Naive Bayes Intuition.mp4 |
31.10Мб |
| 095 Naive Bayes Intuition-EN.srt |
20.88Кб |
| 096 Naive Bayes Intuition Challenge Reveal.mp4 |
13.27Мб |
| 096 Naive Bayes Intuition Challenge Reveal-EN.srt |
8.56Кб |
| 097 Naive Bayes Intuition Extras.mp4 |
18.94Мб |
| 097 Naive Bayes Intuition Extras-EN.srt |
14.29Кб |
| 098 Naive Bayes in Python.mp4 |
31.14Мб |
| 098 Naive Bayes in Python-EN.srt |
12.22Кб |
| 099 Naive Bayes in R.mp4 |
49.79Мб |
| 099 Naive Bayes in R-EN.srt |
19.44Кб |
| 100 Decision Tree Classification Intuition.mp4 |
21.63Мб |
| 100 Decision Tree Classification Intuition-EN.srt |
11.55Кб |
| 101 Decision Tree Classification in Python.mp4 |
38.85Мб |
| 101 Decision Tree Classification in Python-EN.srt |
17.20Кб |
| 102 Decision Tree Classification in R.mp4 |
68.18Мб |
| 102 Decision Tree Classification in R-EN.srt |
25.85Кб |
| 103 Random Forest Classification Intuition.mp4 |
25.66Мб |
| 103 Random Forest Classification Intuition-EN.srt |
6.40Кб |
| 104 Random Forest Classification in Python.mp4 |
62.04Мб |
| 104 Random Forest Classification in Python-EN.srt |
27.42Кб |
| 105 Random Forest Classification in R.mp4 |
64.11Мб |
| 105 Random Forest Classification in R-EN.srt |
28.84Кб |
| 106 False Positives False Negatives.mp4 |
15.12Мб |
| 106 False Positives False Negatives-EN.srt |
10.18Кб |
| 107 Confusion Matrix.mp4 |
8.91Мб |
| 107 Confusion Matrix-EN.srt |
6.74Кб |
| 108 Accuracy Paradox.mp4 |
4.21Мб |
| 108 Accuracy Paradox-EN.srt |
2.93Кб |
| 109 CAP Curve.mp4 |
20.31Мб |
| 109 CAP Curve-EN.srt |
14.54Кб |
| 110 CAP Curve Analysis.mp4 |
12.94Мб |
| 110 CAP Curve Analysis-EN.srt |
8.34Кб |
| 111 Welcome to Part 4 - Clustering.html |
1004б |
| 112 K-Means Clustering Intuition.mp4 |
29.97Мб |
| 112 K-Means Clustering Intuition-EN.srt |
20.91Кб |
| 113 K-Means Random Initialization Trap.mp4 |
15.36Мб |
| 113 K-Means Random Initialization Trap-EN.srt |
11.61Кб |
| 114 K-Means Selecting The Number Of Clusters.mp4 |
25.68Мб |
| 114 K-Means Selecting The Number Of Clusters-EN.srt |
16.54Кб |
| 115 K-Means Clustering in Python.mp4 |
49.81Мб |
| 115 K-Means Clustering in Python-EN.srt |
25.22Кб |
| 116 K-Means Clustering in R.mp4 |
36.91Мб |
| 116 K-Means Clustering in R-EN.srt |
17.33Кб |
| 117 Hierarchical Clustering Intuition.mp4 |
16.52Мб |
| 117 Hierarchical Clustering Intuition-EN.srt |
13.11Кб |
| 118 Hierarchical Clustering How Dendrograms Work.mp4 |
17.46Мб |
| 118 Hierarchical Clustering How Dendrograms Work-EN.srt |
12.83Кб |
| 119 Hierarchical Clustering Using Dendrograms.mp4 |
22.81Мб |
| 119 Hierarchical Clustering Using Dendrograms-EN.srt |
15.85Кб |
| 120 HC in Python - Step 1.mp4 |
13.77Мб |
| 120 HC in Python - Step 1-EN.srt |
6.78Кб |
| 121 HC in Python - Step 2.mp4 |
15.51Мб |
| 121 HC in Python - Step 2-EN.srt |
8.56Кб |
| 122 HC in Python - Step 3.mp4 |
16.17Мб |
| 122 HC in Python - Step 3-EN.srt |
6.95Кб |
| 123 HC in Python - Step 4.mp4 |
21.32Мб |
| 123 HC in Python - Step 4-EN.srt |
5.84Кб |
| 124 HC in Python - Step 5.mp4 |
9.92Мб |
| 124 HC in Python - Step 5-EN.srt |
6.13Кб |
| 125 HC in R - Step 1.mp4 |
8.59Мб |
| 125 HC in R - Step 1-EN.srt |
5.66Кб |
| 126 HC in R - Step 2.mp4 |
13.87Мб |
| 126 HC in R - Step 2-EN.srt |
7.31Кб |
| 127 HC in R - Step 3.mp4 |
9.95Мб |
| 127 HC in R - Step 3-EN.srt |
4.28Кб |
| 128 HC in R - Step 4.mp4 |
10.17Мб |
| 128 HC in R - Step 4-EN.srt |
3.48Кб |
| 129 HC in R - Step 5.mp4 |
13.68Мб |
| 129 HC in R - Step 5-EN.srt |
3.65Кб |
| 130 Welcome to Part 5 - Association Rule Learning.html |
713б |
| 131 Apriori in R - Step 1.mp4 |
52.83Мб |
| 131 Apriori in R - Step 1-EN.srt |
27.65Кб |
| 132 Apriori in R - Step 2.mp4 |
38.81Мб |
| 132 Apriori in R - Step 2-EN.srt |
20.59Кб |
| 133 Apriori in R - Step 3.mp4 |
56.51Мб |
| 133 Apriori in R - Step 3-EN.srt |
27.71Кб |
| 134 Apriori in Python - Step 1.mp4 |
47.41Мб |
| 134 Apriori in Python - Step 1-EN.srt |
24.85Кб |
| 135 Apriori in Python - Step 2.mp4 |
37.32Мб |
| 135 Apriori in Python - Step 2-EN.srt |
20.10Кб |
| 136 Apriori in Python - Step 3.mp4 |
35.30Мб |
| 136 Apriori in Python - Step 3-EN.srt |
17.37Кб |
| 137 Eclat in R.mp4 |
25.26Мб |
| 137 Eclat in R-EN.srt |
14.10Кб |
| 138 Welcome to Part 6 - Reinforcement Learning.html |
1.09Кб |
| 139 Upper Confidence Bound in Python - Step 1.mp4 |
39.01Мб |
| 140 Upper Confidence Bound in Python - Step 2.mp4 |
44.49Мб |
| 141 Upper Confidence Bound in Python - Step 3.mp4 |
53.71Мб |
| 142 Upper Confidence Bound in Python - Step 4.mp4 |
12.44Мб |
| 143 Upper Confidence Bound in R - Step 1.mp4 |
34.01Мб |
| 144 Upper Confidence Bound in R - Step 2.mp4 |
34.10Мб |
| 145 Upper Confidence Bound in R - Step 3.mp4 |
57.84Мб |
| 146 Upper Confidence Bound in R - Step 4.mp4 |
9.55Мб |
| 147 Thompson Sampling in Python - Step 1.mp4 |
55.52Мб |
| 148 Thompson Sampling in Python - Step 2.mp4 |
11.22Мб |
| 149 Thompson Sampling in R - Step 1.mp4 |
51.04Мб |
| 150 Thompson Sampling in R - Step 2.mp4 |
9.56Мб |
| 151 Welcome to Part 7 - Natural Language Processing.html |
2.00Кб |
| 152 Natural Language Processing in Python - Step 1.mp4 |
46.06Мб |
| 153 Natural Language Processing in Python - Step 2.mp4 |
27.44Мб |
| 154 Natural Language Processing in Python - Step 3.mp4 |
4.16Мб |
| 155 Natural Language Processing in Python - Step 4.mp4 |
29.75Мб |
| 156 Natural Language Processing in Python - Step 5.mp4 |
18.80Мб |
| 157 Natural Language Processing in Python - Step 6.mp4 |
8.32Мб |
| 158 Natural Language Processing in Python - Step 7.mp4 |
22.13Мб |
| 159 Natural Language Processing in Python - Step 8.mp4 |
52.02Мб |
| 160 Natural Language Processing in Python - Step 9.mp4 |
18.90Мб |
| 161 Natural Language Processing in Python - Step 10.mp4 |
32.91Мб |
| 162 Homework Challenge.html |
1.65Кб |
| 163 Natural Language Processing in R - Step 1.mp4 |
51.20Мб |
| 164 Natural Language Processing in R - Step 2.mp4 |
21.66Мб |
| 165 Natural Language Processing in R - Step 3.mp4 |
16.89Мб |
| 166 Natural Language Processing in R - Step 4.mp4 |
8.24Мб |
| 167 Natural Language Processing in R - Step 5.mp4 |
5.78Мб |
| 168 Natural Language Processing in R - Step 6.mp4 |
16.09Мб |
| 169 Natural Language Processing in R - Step 7.mp4 |
9.59Мб |
| 170 Natural Language Processing in R - Step 8.mp4 |
17.23Мб |
| 171 Natural Language Processing in R - Step 9.mp4 |
37.69Мб |
| 172 Natural Language Processing in R - Step 10.mp4 |
54.14Мб |
| 173 Homework Challenge.html |
1.68Кб |
| 174 Welcome to Part 8 - Deep Learning.html |
1.04Кб |
| 175 Business Problem Description.mp4 |
29.23Мб |
| 176 ANN in Python - Step 1 - Installing Theano Tensorflow and Keras.mp4 |
37.45Мб |
| 177 ANN in Python - Step 2.mp4 |
84.87Мб |
| 178 ANN in Python - Step 3.mp4 |
14.62Мб |
| 179 ANN in Python - Step 4.mp4 |
9.69Мб |
| 180 ANN in Python - Step 5.mp4 |
39.36Мб |
| 181 ANN in Python - Step 6.mp4 |
11.93Мб |
| 182 ANN in Python - Step 7.mp4 |
14.92Мб |
| 183 ANN in Python - Step 8.mp4 |
34.03Мб |
| 184 ANN in Python - Step 9.mp4 |
28.47Мб |
| 185 ANN in Python - Step 10.mp4 |
28.42Мб |
| 186 ANN in R - Step 1.mp4 |
49.89Мб |
| 187 ANN in R - Step 2.mp4 |
18.24Мб |
| 188 ANN in R - Step 3.mp4 |
37.85Мб |
| 189 ANN in R - Step 4 Last step.mp4 |
43.75Мб |
| 190 CNN in Python - Step 1.mp4 |
30.60Мб |
| 191 CNN in Python - Step 2.mp4 |
7.20Мб |
| 192 CNN in Python - Step 3.mp4 |
2.80Мб |
| 193 CNN in Python - Step 4.mp4 |
34.62Мб |
| 194 CNN in Python - Step 5.mp4 |
12.38Мб |
| 195 CNN in Python - Step 6.mp4 |
11.94Мб |
| 196 CNN in Python - Step 7.mp4 |
16.65Мб |
| 197 CNN in Python - Step 8.mp4 |
8.95Мб |
| 198 CNN in Python - Step 9.mp4 |
62.41Мб |
| 199 CNN in Python - Step 10.mp4 |
27.74Мб |
| 200 CNN in R.html |
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| 201 Welcome to Part 9 - Dimensionality Reduction.html |
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| 202 PCA in Python - Step 1.mp4 |
31.95Мб |
| 203 PCA in Python - Step 2.mp4 |
22.07Мб |
| 204 PCA in Python - Step 3.mp4 |
25.51Мб |
| 205 LDA in Python.mp4 |
45.42Мб |
| 206 Kernel PCA in Python.mp4 |
33.38Мб |
| 207 Welcome to Part 10 - Model Selection Boosting.html |
1.19Кб |
| 208 k-Fold Cross Validation in Python.mp4 |
32.83Мб |
| 209 Grid Search in Python - Step 1.mp4 |
38.21Мб |
| 210 Grid Search in Python - Step 2.mp4 |
29.51Мб |
| 211 XGBoost in Python - Step 1.mp4 |
21.39Мб |
| 212 XGBoost in Python - Step 2.mp4 |
31.97Мб |
| 213 Download all the Codes and Datasets Here.html |
888б |
| 214 YOUR SPECIAL BONUS.html |
3.42Кб |
| Apriori.zip |
49.14Кб |
| Apriori-Python.zip |
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| Artificial-Neural-Networks.zip |
1.45Мб |
| Artificial-Neural-Networks.zip |
1.45Мб |
| Categorical-Data.zip |
3.14Кб |
| Classification-Template.zip |
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| Classification-Template.zip |
2.97Кб |
| Convolutional-Neural-Networks.zip |
221.83Мб |
| Data.csv |
226б |
| Data-Preprocessing-Template.zip |
2.34Кб |
| Decision-Tree-Classification.zip |
8.86Кб |
| Decision-Tree-Classification.zip |
8.86Кб |
| Decision-Tree-Regression.zip |
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| Decision-Tree-Regression.zip |
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| Eclat.zip |
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| Hierarchical-Clustering.zip |
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| Hierarchical-Clustering.zip |
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| Homework-Solutions.zip |
4.94Кб |
| Homework-Solutions.zip |
4.94Кб |
| Kernel-PCA.zip |
5.42Кб |
| Kernel-SVM.zip |
8.41Кб |
| Kernel-SVM.zip |
8.41Кб |
| K-Means.zip |
5.48Кб |
| K-Means.zip |
5.48Кб |
| K-Nearest-Neighbors.zip |
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| K-Nearest-Neighbors.zip |
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| LDA.zip |
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| Logistic-Regression.zip |
6.16Кб |
| Logistic-Regression.zip |
6.16Кб |
| Machine-Learning-A-Z.zip |
227.12Мб |
| Machine-Learning-A-Z-Template-Folder.zip |
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| Missing-Data.zip |
1.96Кб |
| Model-Selection.zip |
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| Model-Selection.zip |
7.66Кб |
| Multiple-Linear-Regression.zip |
5.37Кб |
| Multiple-Linear-Regression.zip |
5.37Кб |
| Naive-Bayes.zip |
8.40Кб |
| Naive-Bayes.zip |
8.40Кб |
| Natural-Language-Processing.zip |
27.93Кб |
| Natural-Language-Processing.zip |
27.93Кб |
| PCA.zip |
6.92Кб |
| Polynomial-Regression.zip |
4.63Кб |
| Polynomial-Regression.zip |
4.63Кб |
| Random-Forest-Classification.zip |
8.87Кб |
| Random-Forest-Classification.zip |
8.87Кб |
| Random-Forest-Regression.zip |
5.31Кб |
| Random-Forest-Regression.zip |
5.31Кб |
| Regression-Template.zip |
2.83Кб |
| Regression-Template.zip |
2.83Кб |
| Simple-Linear-Regression.zip |
4.23Кб |
| Simple-Linear-Regression.zip |
4.23Кб |
| Step-by-step-Blueprints-For-Building-Models.pdf |
768.61Кб |
| SVM.zip |
8.27Кб |
| SVM.zip |
8.27Кб |
| SVR.zip |
4.85Кб |
| SVR.zip |
4.85Кб |
| Thompson-Sampling.zip |
1008.94Кб |
| Thompson-Sampling.zip |
1008.94Кб |
| UCB.zip |
1.03Мб |
| UCB.zip |
1.03Мб |
| XGBoost.zip |
259.33Кб |