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| 001 Applications of Machine Learning.mp4 |
7.99Мб |
| 001 Applications of Machine Learning-subtitle-en.srt |
5.51Кб |
| 002 Why Machine Learning is the Future.mp4 |
12.81Мб |
| 002 Why Machine Learning is the Future-subtitle-en.srt |
9.58Кб |
| 003 Installing R and R Studio (MAC & Windows).mp4 |
17.55Мб |
| 003 Installing R and R Studio (MAC & Windows)-subtitle-en.srt |
9.19Кб |
| 004 Update_ Recommended Anaconda Version.html |
2.25Кб |
| 005 Installing Python and Anaconda (MAC & Windows).mp4 |
19.52Мб |
| 005 Installing Python and Anaconda (MAC & Windows)-subtitle-en.srt |
12.30Кб |
| 006 BONUS_ Meet your instructors.html |
2.16Кб |
| 007 Welcome to Part 1 - Data Preprocessing.mp4 |
2.98Мб |
| 007 Welcome to Part 1 - Data Preprocessing-subtitle-en.srt |
2.52Кб |
| 008 Get the dataset.mp4 |
21.15Мб |
| 008 Get the dataset-subtitle-en.srt |
11.09Кб |
| 009 Importing the Libraries.mp4 |
11.07Мб |
| 009 Importing the Libraries-subtitle-en.srt |
8.41Кб |
| 010 Importing the Dataset.mp4 |
23.31Мб |
| 010 Importing the Dataset-subtitle-en.srt |
18.66Кб |
| 011 For Python learners_ summary of Object-oriented programming_ classes & objects.html |
2.56Кб |
| 012 Missing Data.mp4 |
32.16Мб |
| 012 Missing Data-subtitle-en.srt |
23.63Кб |
| 013 Categorical Data.mp4 |
40.79Мб |
| 013 Categorical Data-subtitle-en.srt |
27.01Кб |
| 014 Splitting the Dataset into the Training set and Test set.mp4 |
39.03Мб |
| 014 Splitting the Dataset into the Training set and Test set-subtitle-en.srt |
26.90Кб |
| 015 Feature Scaling.mp4 |
34.62Мб |
| 015 Feature Scaling-subtitle-en.srt |
23.47Кб |
| 016 And here is our Data Preprocessing Template!.mp4 |
19.67Мб |
| 016 And here is our Data Preprocessing Template!-subtitle-en.srt |
14.16Кб |
| 017 Welcome to Part 2 - Regression.html |
1.97Кб |
| 018 How to get the dataset.mp4 |
11.71Мб |
| 018 How to get the dataset-subtitle-en.srt |
4.93Кб |
| 019 Dataset + Business Problem Description.mp4 |
6.62Мб |
| 019 Dataset + Business Problem Description-subtitle-en.srt |
4.08Кб |
| 020 Simple Linear Regression Intuition - Step 1.mp4 |
9.47Мб |
| 020 Simple Linear Regression Intuition - Step 1-subtitle-en.srt |
8.30Кб |
| 021 Simple Linear Regression Intuition - Step 2.mp4 |
5.37Мб |
| 021 Simple Linear Regression Intuition - Step 2-subtitle-en.srt |
4.34Кб |
| 022 Simple Linear Regression in Python - Step 1.mp4 |
21.72Мб |
| 022 Simple Linear Regression in Python - Step 1-subtitle-en.srt |
15.47Кб |
| 023 Simple Linear Regression in Python - Step 2.mp4 |
18.75Мб |
| 023 Simple Linear Regression in Python - Step 2-subtitle-en.srt |
12.32Кб |
| 024 Simple Linear Regression in Python - Step 3.mp4 |
15.61Мб |
| 024 Simple Linear Regression in Python - Step 3-subtitle-en.srt |
9.84Кб |
| 025 Simple Linear Regression in Python - Step 4.mp4 |
30.82Мб |
| 025 Simple Linear Regression in Python - Step 4-subtitle-en.srt |
22.44Кб |
| 026 Simple Linear Regression in R - Step 1.mp4 |
9.53Мб |
| 026 Simple Linear Regression in R - Step 1-subtitle-en.srt |
7.71Кб |
| 027 Simple Linear Regression in R - Step 2.mp4 |
14.35Мб |
| 027 Simple Linear Regression in R - Step 2-subtitle-en.srt |
8.89Кб |
| 028 Simple Linear Regression in R - Step 3.mp4 |
8.63Мб |
| 028 Simple Linear Regression in R - Step 3-subtitle-en.srt |
5.52Кб |
| 029 Simple Linear Regression in R - Step 4.mp4 |
37.37Мб |
| 029 Simple Linear Regression in R - Step 4-subtitle-en.srt |
23.94Кб |
| 030 How to get the dataset.mp4 |
11.71Мб |
| 030 How to get the dataset-subtitle-en.srt |
4.93Кб |
| 031 Dataset + Business Problem Description.mp4 |
9.98Мб |
| 031 Dataset + Business Problem Description-subtitle-en.srt |
5.68Кб |
| 032 Multiple Linear Regression Intuition - Step 1.mp4 |
1.82Мб |
| 032 Multiple Linear Regression Intuition - Step 1-subtitle-en.srt |
1.58Кб |
| 033 Multiple Linear Regression Intuition - Step 2.mp4 |
1.78Мб |
| 033 Multiple Linear Regression Intuition - Step 2-subtitle-en.srt |
1.45Кб |
| 034 Multiple Linear Regression Intuition - Step 3.mp4 |
14.28Мб |
| 034 Multiple Linear Regression Intuition - Step 3-subtitle-en.srt |
10.70Кб |
| 035 Multiple Linear Regression Intuition - Step 4.mp4 |
4.51Мб |
| 035 Multiple Linear Regression Intuition - Step 4-subtitle-en.srt |
3.51Кб |
| 036 Multiple Linear Regression Intuition - Step 5.mp4 |
28.83Мб |
| 036 Multiple Linear Regression Intuition - Step 5-subtitle-en.srt |
23.56Кб |
| 037 Multiple Linear Regression in Python - Step 1.mp4 |
39.56Мб |
| 037 Multiple Linear Regression in Python - Step 1-subtitle-en.srt |
24.44Кб |
| 038 Multiple Linear Regression in Python - Step 2.mp4 |
7.22Мб |
| 038 Multiple Linear Regression in Python - Step 2-subtitle-en.srt |
4.08Кб |
| 039 Multiple Linear Regression in Python - Step 3.mp4 |
14.29Мб |
| 039 Multiple Linear Regression in Python - Step 3-subtitle-en.srt |
8.27Кб |
| 040 Multiple Linear Regression in Python - Backward Elimination - Preparation.mp4 |
32.82Мб |
| 040 Multiple Linear Regression in Python - Backward Elimination - Preparation-subtitle-en.srt |
19.71Кб |
| 041 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK !.mp4 |
32.59Мб |
| 041 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK !-subtitle-en.srt |
19.68Кб |
| 042 Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp4 |
27.17Мб |
| 042 Multiple Linear Regression in Python - Backward Elimination - Homework Solution-subtitle-en.srt |
14.17Кб |
| 043 Multiple Linear Regression in R - Step 1.mp4 |
17.94Мб |
| 043 Multiple Linear Regression in R - Step 1-subtitle-en.srt |
11.85Кб |
| 044 Multiple Linear Regression in R - Step 2.mp4 |
25.93Мб |
| 044 Multiple Linear Regression in R - Step 2-subtitle-en.srt |
15.43Кб |
| 045 Multiple Linear Regression in R - Step 3.mp4 |
10.41Мб |
| 045 Multiple Linear Regression in R - Step 3-subtitle-en.srt |
7.07Кб |
| 046 Multiple Linear Regression in R - Backward Elimination - HOMEWORK !.mp4 |
39.73Мб |
| 046 Multiple Linear Regression in R - Backward Elimination - HOMEWORK !-subtitle-en.srt |
27.48Кб |
| 047 Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp4 |
17.24Мб |
| 047 Multiple Linear Regression in R - Backward Elimination - Homework Solution-subtitle-en.srt |
11.86Кб |
| 048 Polynomial Regression Intuition.mp4 |
9.44Мб |
| 048 Polynomial Regression Intuition-subtitle-en.srt |
7.82Кб |
| 049 How to get the dataset.mp4 |
11.71Мб |
| 049 How to get the dataset-subtitle-en.srt |
4.93Кб |
| 050 Polynomial Regression in Python - Step 1.mp4 |
24.89Мб |
| 050 Polynomial Regression in Python - Step 1-subtitle-en.srt |
17.50Кб |
| 051 Polynomial Regression in Python - Step 2.mp4 |
27.10Мб |
| 051 Polynomial Regression in Python - Step 2-subtitle-en.srt |
17.22Кб |
| 052 Polynomial Regression in Python - Step 3.mp4 |
42.98Мб |
| 052 Polynomial Regression in Python - Step 3-subtitle-en.srt |
31.40Кб |
| 053 Polynomial Regression in Python - Step 4.mp4 |
13.50Мб |
| 053 Polynomial Regression in Python - Step 4-subtitle-en.srt |
8.65Кб |
| 054 Python Regression Template.mp4 |
27.43Мб |
| 054 Python Regression Template-subtitle-en.srt |
16.38Кб |
| 055 Polynomial Regression in R - Step 1.mp4 |
17.78Мб |
| 055 Polynomial Regression in R - Step 1-subtitle-en.srt |
14.13Кб |
| 056 Polynomial Regression in R - Step 2.mp4 |
23.87Мб |
| 056 Polynomial Regression in R - Step 2-subtitle-en.srt |
15.27Кб |
| 057 Polynomial Regression in R - Step 3.mp4 |
43.31Мб |
| 057 Polynomial Regression in R - Step 3-subtitle-en.srt |
30.86Кб |
| 058 Polynomial Regression in R - Step 4.mp4 |
22.34Мб |
| 058 Polynomial Regression in R - Step 4-subtitle-en.srt |
15.44Кб |
| 059 R Regression Template.mp4 |
25.41Мб |
| 059 R Regression Template-subtitle-en.srt |
18.63Кб |
| 060 How to get the dataset.mp4 |
11.71Мб |
| 060 How to get the dataset-subtitle-en.srt |
4.93Кб |
| 061 SVR in Python.mp4 |
46.18Мб |
| 061 SVR in Python-subtitle-en.srt |
30.89Кб |
| 062 SVR in R.mp4 |
25.87Мб |
| 062 SVR in R-subtitle-en.srt |
18.70Кб |
| 063 Decision Tree Regression Intuition.mp4 |
22.69Мб |
| 063 Decision Tree Regression Intuition-subtitle-en.srt |
17.06Кб |
| 064 How to get the dataset.mp4 |
11.71Мб |
| 064 How to get the dataset-subtitle-en.srt |
4.93Кб |
| 065 Decision Tree Regression in Python.mp4 |
33.54Мб |
| 065 Decision Tree Regression in Python-subtitle-en.srt |
23.73Кб |
| 066 Decision Tree Regression in R.mp4 |
44.37Мб |
| 066 Decision Tree Regression in R-subtitle-en.srt |
32.15Кб |
| 067 Random Forest Regression Intuition.mp4 |
13.82Мб |
| 067 Random Forest Regression Intuition-subtitle-en.srt |
10.22Кб |
| 068 How to get the dataset.mp4 |
11.71Мб |
| 068 How to get the dataset-subtitle-en.srt |
4.93Кб |
| 069 Random Forest Regression in Python.mp4 |
39.47Мб |
| 069 Random Forest Regression in Python-subtitle-en.srt |
27.53Кб |
| 070 Random Forest Regression in R.mp4 |
40.34Мб |
| 070 Random Forest Regression in R-subtitle-en.srt |
28.11Кб |
| 071 R-Squared Intuition.mp4 |
8.85Мб |
| 071 R-Squared Intuition-subtitle-en.srt |
7.17Кб |
| 072 Adjusted R-Squared Intuition.mp4 |
19.28Мб |
| 072 Adjusted R-Squared Intuition-subtitle-en.srt |
14.45Кб |
| 073 Evaluating Regression Models Performance - Homework's Final Part.mp4 |
21.89Мб |
| 073 Evaluating Regression Models Performance - Homework's Final Part-subtitle-en.srt |
12.93Кб |
| 074 Interpreting Linear Regression Coefficients.mp4 |
24.21Мб |
| 074 Interpreting Linear Regression Coefficients-subtitle-en.srt |
13.32Кб |
| 075 Conclusion of Part 2 - Regression.html |
4.33Кб |
| 076 Welcome to Part 3 - Classification.html |
1.93Кб |
| 077 Logistic Regression Intuition.mp4 |
29.17Мб |
| 077 Logistic Regression Intuition-subtitle-en.srt |
24.84Кб |
| 078 How to get the dataset.mp4 |
11.71Мб |
| 078 How to get the dataset-subtitle-en.srt |
4.93Кб |
| 079 Logistic Regression in Python - Step 1.mp4 |
12.93Мб |
| 079 Logistic Regression in Python - Step 1-subtitle-en.srt |
8.76Кб |
| 080 Logistic Regression in Python - Step 2.mp4 |
8.23Мб |
| 080 Logistic Regression in Python - Step 2-subtitle-en.srt |
4.92Кб |
| 081 Logistic Regression in Python - Step 3.mp4 |
5.97Мб |
| 081 Logistic Regression in Python - Step 3-subtitle-en.srt |
4.10Кб |
| 082 Logistic Regression in Python - Step 4.mp4 |
10.37Мб |
| 082 Logistic Regression in Python - Step 4-subtitle-en.srt |
7.16Кб |
| 083 Logistic Regression in Python - Step 5.mp4 |
42.55Мб |
| 083 Logistic Regression in Python - Step 5-subtitle-en.srt |
29.70Кб |
| 084 Python Classification Template.mp4 |
12.06Мб |
| 084 Python Classification Template-subtitle-en.srt |
6.07Кб |
| 085 Logistic Regression in R - Step 1.mp4 |
12.58Мб |
| 085 Logistic Regression in R - Step 1-subtitle-en.srt |
8.92Кб |
| 086 Logistic Regression in R - Step 2.mp4 |
7.84Мб |
| 086 Logistic Regression in R - Step 2-subtitle-en.srt |
4.35Кб |
| 087 Logistic Regression in R - Step 3.mp4 |
14.59Мб |
| 087 Logistic Regression in R - Step 3-subtitle-en.srt |
7.43Кб |
| 088 Logistic Regression in R - Step 4.mp4 |
6.90Мб |
| 088 Logistic Regression in R - Step 4-subtitle-en.srt |
3.98Кб |
| 089 Logistic Regression in R - Step 5.mp4 |
51.68Мб |
| 089 Logistic Regression in R - Step 5-subtitle-en.srt |
29.10Кб |
| 090 R Classification Template.mp4 |
12.47Мб |
| 090 R Classification Template-subtitle-en.srt |
6.70Кб |
| 091 K-Nearest Neighbor Intuition.mp4 |
9.27Мб |
| 091 K-Nearest Neighbor Intuition-subtitle-en.srt |
8.04Кб |
| 092 How to get the dataset.mp4 |
11.71Мб |
| 092 How to get the dataset-subtitle-en.srt |
4.93Кб |
| 093 K-NN in Python.mp4 |
35.21Мб |
| 093 K-NN in Python-subtitle-en.srt |
21.24Кб |
| 094 K-NN in R.mp4 |
41.37Мб |
| 094 K-NN in R-subtitle-en.srt |
23.37Кб |
| 095 SVM Intuition.mp4 |
18.01Мб |
| 095 SVM Intuition-subtitle-en.srt |
15.72Кб |
| 096 How to get the dataset.mp4 |
11.71Мб |
| 096 How to get the dataset-subtitle-en.srt |
4.93Кб |
| 097 SVM in Python.mp4 |
31.16Мб |
| 097 SVM in Python-subtitle-en.srt |
19.16Кб |
| 098 SVM.zip |
8.27Кб |
| 098 SVM in R.mp4 |
32.26Мб |
| 098 SVM in R-subtitle-en.srt |
18.40Кб |
| 099 Kernel SVM Intuition.mp4 |
5.79Мб |
| 099 Kernel SVM Intuition-subtitle-en.srt |
4.56Кб |
| 100 Mapping to a higher dimension.mp4 |
13.74Мб |
| 100 Mapping to a higher dimension-subtitle-en.srt |
10.93Кб |
| 101 The Kernel Trick.mp4 |
29.28Мб |
| 101 The Kernel Trick-subtitle-en.srt |
17.15Кб |
| 102 Types of Kernel Functions.mp4 |
12.30Мб |
| 102 Types of Kernel Functions-subtitle-en.srt |
5.12Кб |
| 103 How to get the dataset.mp4 |
11.71Мб |
| 103 How to get the dataset-subtitle-en.srt |
4.93Кб |
| 104 Kernel SVM in Python.mp4 |
41.62Мб |
| 104 Kernel SVM in Python-subtitle-en.srt |
28.25Кб |
| 105 Kernel SVM in R.mp4 |
40.45Мб |
| 105 Kernel SVM in R-subtitle-en.srt |
25.45Кб |
| 106 Bayes Theorem.mp4 |
43.90Мб |
| 106 Bayes Theorem-subtitle-en.srt |
34.45Кб |
| 107 Naive Bayes Intuition.mp4 |
27.79Мб |
| 107 Naive Bayes Intuition-subtitle-en.srt |
23.34Кб |
| 108 Naive Bayes Intuition (Challenge Reveal).mp4 |
13.27Мб |
| 108 Naive Bayes Intuition (Challenge Reveal)-subtitle-en.srt |
9.50Кб |
| 109 Naive Bayes Intuition (Extras).mp4 |
18.94Мб |
| 109 Naive Bayes Intuition (Extras)-subtitle-en.srt |
15.93Кб |
| 110 How to get the dataset.mp4 |
11.71Мб |
| 110 How to get the dataset-subtitle-en.srt |
4.93Кб |
| 111 Naive Bayes in Python.mp4 |
23.38Мб |
| 111 Naive Bayes in Python-subtitle-en.srt |
13.75Кб |
| 112 Naive Bayes in R.mp4 |
37.31Мб |
| 112 Naive Bayes in R-subtitle-en.srt |
21.90Кб |
| 113 Decision Tree Classification Intuition.mp4 |
18.79Мб |
| 113 Decision Tree Classification Intuition-subtitle-en.srt |
12.88Кб |
| 114 How to get the dataset.mp4 |
11.71Мб |
| 114 How to get the dataset-subtitle-en.srt |
4.93Кб |
| 115 Decision Tree Classification in Python.mp4 |
29.80Мб |
| 115 Decision Tree Classification in Python-subtitle-en.srt |
19.43Кб |
| 116 Decision Tree Classification in R.mp4 |
51.18Мб |
| 116 Decision Tree Classification in R-subtitle-en.srt |
29.14Кб |
| 117 Random Forest Classification Intuition.mp4 |
19.43Мб |
| 117 Random Forest Classification Intuition-subtitle-en.srt |
7.06Кб |
| 118 How to get the dataset.mp4 |
11.71Мб |
| 118 How to get the dataset-subtitle-en.srt |
4.93Кб |
| 119 Random Forest Classification in Python.mp4 |
47.15Мб |
| 119 Random Forest Classification in Python-subtitle-en.srt |
30.74Кб |
| 120 Random Forest Classification in R.mp4 |
49.39Мб |
| 120 Random Forest Classification in R-subtitle-en.srt |
32.41Кб |
| 121 False Positives & False Negatives.mp4 |
13.65Мб |
| 121 False Positives & False Negatives-subtitle-en.srt |
11.29Кб |
| 122 Confusion Matrix.mp4 |
8.21Мб |
| 122 Confusion Matrix-subtitle-en.srt |
7.51Кб |
| 123 Accuracy Paradox.mp4 |
3.80Мб |
| 123 Accuracy Paradox-subtitle-en.srt |
3.24Кб |
| 124 CAP Curve.mp4 |
18.68Мб |
| 124 CAP Curve-subtitle-en.srt |
16.19Кб |
| 125 CAP Curve Analysis.mp4 |
11.51Мб |
| 125 CAP Curve Analysis-subtitle-en.srt |
9.24Кб |
| 126 Conclusion of Part 3 - Classification.html |
4.78Кб |
| 127 Welcome to Part 4 - Clustering.html |
1.81Кб |
| 128 K-Means Clustering Intuition.mp4 |
26.86Мб |
| 128 K-Means Clustering Intuition-subtitle-en.srt |
23.35Кб |
| 129 K-Means Random Initialization Trap.mp4 |
15.36Мб |
| 129 K-Means Random Initialization Trap-subtitle-en.srt |
12.96Кб |
| 130 K-Means Selecting The Number Of Clusters.mp4 |
23.13Мб |
| 130 K-Means Selecting The Number Of Clusters-subtitle-en.srt |
18.46Кб |
| 131 How to get the dataset.mp4 |
11.71Мб |
| 131 How to get the dataset-subtitle-en.srt |
4.93Кб |
| 132 K-Means Clustering in Python.mp4 |
39.77Мб |
| 132 K-Means Clustering in Python-subtitle-en.srt |
28.23Кб |
| 133 K-Means Clustering in R.mp4 |
28.99Мб |
| 133 K-Means Clustering in R-subtitle-en.srt |
19.45Кб |
| 134 Hierarchical Clustering Intuition.mp4 |
16.52Мб |
| 134 Hierarchical Clustering Intuition-subtitle-en.srt |
14.59Кб |
| 135 Hierarchical Clustering How Dendrograms Work.mp4 |
17.46Мб |
| 135 Hierarchical Clustering How Dendrograms Work-subtitle-en.srt |
14.36Кб |
| 136 Hierarchical Clustering Using Dendrograms.mp4 |
22.81Мб |
| 136 Hierarchical Clustering Using Dendrograms-subtitle-en.srt |
17.60Кб |
| 137 How to get the dataset.mp4 |
11.71Мб |
| 137 How to get the dataset-subtitle-en.srt |
4.93Кб |
| 138 HC in Python - Step 1.mp4 |
10.72Мб |
| 138 HC in Python - Step 1-subtitle-en.srt |
7.59Кб |
| 139 HC in Python - Step 2.mp4 |
12.64Мб |
| 139 HC in Python - Step 2-subtitle-en.srt |
9.51Кб |
| 140 HC in Python - Step 3.mp4 |
12.30Мб |
| 140 HC in Python - Step 3-subtitle-en.srt |
7.72Кб |
| 141 HC in Python - Step 4.mp4 |
12.02Мб |
| 141 HC in Python - Step 4-subtitle-en.srt |
6.47Кб |
| 142 HC in Python - Step 5.mp4 |
8.39Мб |
| 142 HC in Python - Step 5-subtitle-en.srt |
6.79Кб |
| 143 HC in R - Step 1.mp4 |
7.38Мб |
| 143 HC in R - Step 1-subtitle-en.srt |
6.35Кб |
| 144 HC in R - Step 2.mp4 |
11.15Мб |
| 144 HC in R - Step 2-subtitle-en.srt |
8.14Кб |
| 145 HC in R - Step 3.mp4 |
7.80Мб |
| 145 HC in R - Step 3-subtitle-en.srt |
4.73Кб |
| 146 HC in R - Step 4.mp4 |
7.44Мб |
| 146 HC in R - Step 4-subtitle-en.srt |
3.84Кб |
| 147 HC in R - Step 5.mp4 |
6.88Мб |
| 147 HC in R - Step 5-subtitle-en.srt |
4.03Кб |
| 148 Conclusion of Part 4 - Clustering.html |
1.61Кб |
| 149 Welcome to Part 5 - Association Rule Learning.html |
1.55Кб |
| 150 Apriori Intuition.mp4 |
35.02Мб |
| 150 Apriori Intuition-subtitle-en.srt |
26.89Кб |
| 151 How to get the dataset.mp4 |
11.71Мб |
| 151 How to get the dataset-subtitle-en.srt |
4.93Кб |
| 152 Apriori in R - Step 1.mp4 |
42.87Мб |
| 152 Apriori in R - Step 1-subtitle-en.srt |
31.05Кб |
| 153 Apriori in R - Step 2.mp4 |
30.50Мб |
| 153 Apriori in R - Step 2-subtitle-en.srt |
23.03Кб |
| 154 Apriori in R - Step 3.mp4 |
43.84Мб |
| 154 Apriori in R - Step 3-subtitle-en.srt |
31.16Кб |
| 155 Apriori in Python - Step 1.mp4 |
37.97Мб |
| 155 Apriori in Python - Step 1-subtitle-en.srt |
27.96Кб |
| 156 Apriori in Python - Step 2.mp4 |
29.52Мб |
| 156 Apriori in Python - Step 2-subtitle-en.srt |
22.53Кб |
| 157 Apriori in Python - Step 3.mp4 |
26.96Мб |
| 157 Apriori in Python - Step 3-subtitle-en.srt |
19.60Кб |
| 158 Eclat Intuition.mp4 |
10.65Мб |
| 158 Eclat Intuition-subtitle-en.srt |
8.41Кб |
| 159 How to get the dataset.mp4 |
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| 159 How to get the dataset-subtitle-en.srt |
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| 160 Eclat.zip |
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| 160 Eclat in R.mp4 |
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| 160 Eclat in R-subtitle-en.srt |
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| 161 Welcome to Part 6 - Reinforcement Learning.html |
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| 162 The Multi-Armed Bandit Problem.mp4 |
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| 162 The Multi-Armed Bandit Problem-subtitle-en.srt |
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| 163 Upper Confidence Bound (UCB) Intuition.mp4 |
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| 163 Upper Confidence Bound (UCB) Intuition-subtitle-en.srt |
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| 164 How to get the dataset.mp4 |
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| 164 How to get the dataset-subtitle-en.srt |
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| 165 Upper Confidence Bound in Python - Step 1.mp4 |
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| 166 Upper Confidence Bound in Python - Step 2.mp4 |
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| 167 Upper Confidence Bound in Python - Step 3.mp4 |
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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.mp4 |
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| 168 Upper Confidence Bound in Python - Step 4-subtitle-en.srt |
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| 169 Upper Confidence Bound in R - Step 1.mp4 |
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| 169 Upper Confidence Bound in R - Step 1-subtitle-en.srt |
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| 170 Upper Confidence Bound in R - Step 2.mp4 |
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| 170 Upper Confidence Bound in R - Step 2-subtitle-en.srt |
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| 171 Upper Confidence Bound in R - Step 3.mp4 |
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| 171 Upper Confidence Bound in R - Step 3-subtitle-en.srt |
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| 172 Upper Confidence Bound in R - Step 4.mp4 |
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| 172 Upper Confidence Bound in R - Step 4-subtitle-en.srt |
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| 173 Thompson Sampling Intuition.mp4 |
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| 173 Thompson Sampling Intuition-subtitle-en.srt |
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| 174 Algorithm Comparison_ UCB vs Thompson Sampling.mp4 |
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| 174 Algorithm Comparison_ UCB vs Thompson Sampling-subtitle-en.srt |
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| 175 How to get the dataset.mp4 |
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| 175 How to get the dataset-subtitle-en.srt |
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| 176 Thompson Sampling in Python - Step 1.mp4 |
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| 176 Thompson Sampling in Python - Step 1-subtitle-en.srt |
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| 177 Thompson Sampling in Python - Step 2.mp4 |
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| 177 Thompson Sampling in Python - Step 2-subtitle-en.srt |
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| 178 Thompson Sampling in R - Step 1.mp4 |
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| 178 Thompson Sampling in R - Step 1-subtitle-en.srt |
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| 179 Thompson Sampling in R - Step 2.mp4 |
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| 179 Thompson Sampling in R - Step 2-subtitle-en.srt |
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| 180 Welcome to Part 7 - Natural Language Processing.html |
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| 181 How to get the dataset.mp4 |
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| 181 How to get the dataset-subtitle-en.srt |
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| 182 Natural Language Processing in Python - Step 1.mp4 |
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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.mp4 |
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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.mp4 |
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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.mp4 |
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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.mp4 |
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| 186 Natural Language Processing in Python - Step 5-subtitle-en.srt |
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| 187 Natural Language Processing in Python - Step 6.mp4 |
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| 187 Natural Language Processing in Python - Step 6-subtitle-en.srt |
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| 188 Natural Language Processing in Python - Step 7.mp4 |
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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.mp4 |
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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.mp4 |
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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.mp4 |
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| 191 Natural Language Processing in Python - Step 10-subtitle-en.srt |
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| 192 Homework Challenge.html |
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| 193 Natural Language Processing in R - Step 1.mp4 |
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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.mp4 |
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| 194 Natural Language Processing in R - Step 2-subtitle-en.srt |
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| 195 Natural Language Processing in R - Step 3.mp4 |
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| 195 Natural Language Processing in R - Step 3-subtitle-en.srt |
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| 196 Natural Language Processing in R - Step 4.mp4 |
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| 196 Natural Language Processing in R - Step 4-subtitle-en.srt |
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| 197 Natural Language Processing in R - Step 5.mp4 |
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| 197 Natural Language Processing in R - Step 5-subtitle-en.srt |
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| 198 Natural Language Processing in R - Step 6.mp4 |
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| 198 Natural Language Processing in R - Step 6-subtitle-en.srt |
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| 199 Natural Language Processing in R - Step 7.mp4 |
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| 199 Natural Language Processing in R - Step 7-subtitle-en.srt |
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| 200 Natural Language Processing in R - Step 8.mp4 |
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| 200 Natural Language Processing in R - Step 8-subtitle-en.srt |
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| 201 Natural Language Processing in R - Step 9.mp4 |
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| 201 Natural Language Processing in R - Step 9-subtitle-en.srt |
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| 202 Natural Language Processing in R - Step 10.mp4 |
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| 202 Natural Language Processing in R - Step 10-subtitle-en.srt |
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| 203 Homework Challenge.html |
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| 204 Welcome to Part 8 - Deep Learning.html |
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| 205 What is Deep Learning_.mp4 |
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| 205 What is Deep Learning_-subtitle-en.srt |
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| 206 Plan of attack.mp4 |
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| 206 Plan of attack-subtitle-en.srt |
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| 207 The Neuron.mp4 |
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| 207 The Neuron-subtitle-en.srt |
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| 208 The Activation Function.mp4 |
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| 208 The Activation Function-subtitle-en.srt |
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| 209 How do Neural Networks work_.mp4 |
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| 209 How do Neural Networks work_-subtitle-en.srt |
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| 210 How do Neural Networks learn_.mp4 |
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| 210 How do Neural Networks learn_-subtitle-en.srt |
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| 211 Gradient Descent.mp4 |
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| 211 Gradient Descent-subtitle-en.srt |
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| 212 Stochastic Gradient Descent.mp4 |
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| 212 Stochastic Gradient Descent-subtitle-en.srt |
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| 213 Backpropagation.mp4 |
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| 213 Backpropagation-subtitle-en.srt |
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| 214 How to get the dataset.mp4 |
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| 214 How to get the dataset-subtitle-en.srt |
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| 215 Business Problem Description.mp4 |
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| 215 Business Problem Description-subtitle-en.srt |
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| 216 ANN in Python - Step 1 - Installing Theano_ Tensorflow and Keras.mp4 |
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| 216 ANN in Python - Step 1 - Installing Theano_ Tensorflow and Keras-subtitle-en.srt |
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| 217 ANN in Python - Step 2.mp4 |
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| 218 ANN in Python - Step 3.mp4 |
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| 219 ANN in Python - Step 4.mp4 |
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| 220 ANN in Python - Step 5.mp4 |
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| 221 ANN in Python - Step 6.mp4 |
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| 222 ANN in Python - Step 7.mp4 |
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| 222 ANN in Python - Step 7-subtitle-en.srt |
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| 223 ANN in Python - Step 8.mp4 |
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| 224 ANN in Python - Step 9.mp4 |
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| 225 ANN in Python - Step 10.mp4 |
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| 225 ANN in Python - Step 10-subtitle-en.srt |
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| 226 ANN in R - Step 1.mp4 |
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| 226 ANN in R - Step 1-subtitle-en.srt |
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| 227 ANN in R - Step 2.mp4 |
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| 228 ANN in R - Step 3.mp4 |
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| 228 ANN in R - Step 3-subtitle-en.srt |
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| 229 ANN in R - Step 4 (Last step).mp4 |
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| 229 ANN in R - Step 4 (Last step)-subtitle-en.srt |
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| 230 Plan of attack.mp4 |
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| 230 Plan of attack-subtitle-en.srt |
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| 231 What are convolutional neural networks_.mp4 |
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| 231 What are convolutional neural networks_-subtitle-en.srt |
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| 232 Step 1 - Convolution Operation.mp4 |
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| 232 Step 1 - Convolution Operation-subtitle-en.srt |
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| 233 Step 1(b) - ReLU Layer.mp4 |
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| 233 Step 1(b) - ReLU Layer-subtitle-en.srt |
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| 234 Step 2 - Pooling.mp4 |
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| 234 Step 2 - Pooling-subtitle-en.srt |
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| 235 Step 3 - Flattening.mp4 |
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| 235 Step 3 - Flattening-subtitle-en.srt |
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| 236 Step 4 - Full Connection.mp4 |
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| 236 Step 4 - Full Connection-subtitle-en.srt |
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| 237 Summary.mp4 |
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| 237 Summary-subtitle-en.srt |
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| 238 Softmax & Cross-Entropy.mp4 |
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| 238 Softmax & Cross-Entropy-subtitle-en.srt |
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| 239 How to get the dataset.mp4 |
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| 239 How to get the dataset-subtitle-en.srt |
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| 240 CNN in Python - Step 1.mp4 |
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| 240 CNN in Python - Step 1-subtitle-en.srt |
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| 241 CNN in Python - Step 2.mp4 |
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| 242 CNN in Python - Step 3.mp4 |
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| 243 CNN in Python - Step 4.mp4 |
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| 243 CNN in Python - Step 4-subtitle-en.srt |
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| 244 CNN in Python - Step 5.mp4 |
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| 244 CNN in Python - Step 5-subtitle-en.srt |
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| 245 CNN in Python - Step 6.mp4 |
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| 245 CNN in Python - Step 6-subtitle-en.srt |
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| 246 CNN in Python - Step 7.mp4 |
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| 247 CNN in Python - Step 8.mp4 |
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| 248 CNN in Python - Step 9.mp4 |
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| 249 CNN in Python - Step 10.mp4 |
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| 249 CNN in Python - Step 10-subtitle-en.srt |
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| 250 CNN in R.html |
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| 251 Welcome to Part 9 - Dimensionality Reduction.html |
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| 252 How to get the dataset.mp4 |
11.71Мб |
| 252 How to get the dataset-subtitle-en.srt |
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| 253 PCA in Python - Step 1.mp4 |
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| 253 PCA in Python - Step 1-subtitle-en.srt |
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| 254 PCA in Python - Step 2.mp4 |
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| 254 PCA in Python - Step 2-subtitle-en.srt |
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| 255 PCA in Python - Step 3.mp4 |
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| 255 PCA in Python - Step 3-subtitle-en.srt |
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| 256 PCA in R - Step 1.mp4 |
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| 256 PCA in R - Step 1-subtitle-en.srt |
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| 257 PCA in R - Step 2.mp4 |
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| 257 PCA in R - Step 2-subtitle-en.srt |
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| 258 PCA in R - Step 3.mp4 |
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| 258 PCA in R - Step 3-subtitle-en.srt |
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| 259 How to get the dataset.mp4 |
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| 259 How to get the dataset-subtitle-en.srt |
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| 260 LDA in Python.mp4 |
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| 260 LDA in Python-subtitle-en.srt |
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| 261 LDA in R.mp4 |
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| 261 LDA in R-subtitle-en.srt |
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| 262 How to get the dataset.mp4 |
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| 262 How to get the dataset-subtitle-en.srt |
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| 263 Kernel PCA in Python.mp4 |
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| 263 Kernel PCA in Python-subtitle-en.srt |
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| 264 Kernel PCA in R.mp4 |
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| 264 Kernel PCA in R-subtitle-en.srt |
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| 265 Welcome to Part 10 - Model Selection & Boosting.html |
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| 266 How to get the dataset.mp4 |
11.71Мб |
| 266 How to get the dataset-subtitle-en.srt |
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| 267 k-Fold Cross Validation in Python.mp4 |
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| 267 k-Fold Cross Validation in Python-subtitle-en.srt |
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| 268 k-Fold Cross Validation in R.mp4 |
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| 268 k-Fold Cross Validation in R-subtitle-en.srt |
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| 269 Grid Search in Python - Step 1.mp4 |
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| 269 Grid Search in Python - Step 1-subtitle-en.srt |
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| 270 Grid Search in Python - Step 2.mp4 |
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| 270 Grid Search in Python - Step 2-subtitle-en.srt |
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| 271 Grid Search in R.mp4 |
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| 271 Grid Search in R-subtitle-en.srt |
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| 272 How to get the dataset.mp4 |
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| 272 How to get the dataset-subtitle-en.srt |
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| 273 XGBoost in Python - Step 1.mp4 |
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| 273 XGBoost in Python - Step 1-subtitle-en.srt |
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| 274 XGBoost in Python - Step 2.mp4 |
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| 274 XGBoost in Python - Step 2-subtitle-en.srt |
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| 275 XGBoost in R.mp4 |
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| 275 XGBoost in R-subtitle-en.srt |
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| 276 ___YOUR SPECIAL BONUS___.html |
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| Read Me.txt |
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| Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt |
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| TutsGalaxy.com.txt |
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| TutsGalaxy.com.txt |
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