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585б |
1. Machine Learning Course Contents.mp4 |
26.19Мб |
1. Machine Learning Course Contents.srt |
8.52Кб |
1. Supervised Machine Learning - Overview.mp4 |
138.77Мб |
1. Supervised Machine Learning - Overview.srt |
25.07Кб |
1. Unsupervised Machine Learning - Overview.mp4 |
143.17Мб |
1. Unsupervised Machine Learning - Overview.srt |
20.90Кб |
10.1 SuperMarketData.zip |
1.53Кб |
10. Mean Shift Algorithm with Practical (2).mp4 |
97.63Мб |
10. Mean Shift Algorithm with Practical (2).srt |
12.55Кб |
10. Non Linear SVM parameters (with Practical).mp4 |
204.56Мб |
10. Non Linear SVM parameters (with Practical).srt |
29.83Кб |
11. K Means Algorithm.mp4 |
116.15Мб |
11. K Means Algorithm.srt |
24.91Кб |
11. SVM kernel trick for not linearly separable data (with Practical).mp4 |
47.45Мб |
11. SVM kernel trick for not linearly separable data (with Practical).srt |
6.69Кб |
12.1 SuperMarketData.zip |
1.53Кб |
12. K Means Algorithm with Practical (1).mp4 |
104.51Мб |
12. K Means Algorithm with Practical (1).srt |
14.99Кб |
12. Linear Regression.mp4 |
45.19Мб |
12. Linear Regression.srt |
12.54Кб |
13.1 income.zip |
393б |
13.1 realEstateRates.zip |
222б |
13.2 realEstateRates_1.zip |
219б |
13. K Means Algorithm with Practical (2).mp4 |
89.43Мб |
13. K Means Algorithm with Practical (2).srt |
12.52Кб |
13. Linear Regression (with Practical).mp4 |
120.97Мб |
13. Linear Regression (with Practical).srt |
16.90Кб |
14. Association Rules.mp4 |
240.42Мб |
14. Association Rules.srt |
41.74Кб |
14. Gradient Descent Overview.mp4 |
60.65Мб |
14. Gradient Descent Overview.srt |
11.24Кб |
15.1 OnlineRetail_short.zip |
2.04Мб |
15. Association Rules (with Practical).mp4 |
319.11Мб |
15. Association Rules (with Practical).srt |
38.74Кб |
15. One Hot Encoding (Dummy Variables).mp4 |
75.56Мб |
15. One Hot Encoding (Dummy Variables).srt |
17.13Кб |
16.1 realEstateRates_multipleCities.zip |
319б |
16. One Hot Encoding (with Practical).mp4 |
142.60Мб |
16. One Hot Encoding (with Practical).srt |
19.13Кб |
17. Information about DataSets.mp4 |
45.24Мб |
17. Information about DataSets.srt |
5.95Кб |
2.1 VehiclePrices.zip |
325б |
2. Generating Training and Test Data (Train Test Split).mp4 |
129.95Мб |
2. Generating Training and Test Data (Train Test Split).srt |
23.09Кб |
2. Hierarchical Clustering Agglomerative Clustering.mp4 |
142.89Мб |
2. Hierarchical Clustering Agglomerative Clustering.srt |
26.72Кб |
2. Machine Learning Introduction.mp4 |
87.70Мб |
2. Machine Learning Introduction.srt |
22.08Кб |
3.1 SuperMarketData.zip |
1.53Кб |
3. Agglomerative Clustering (Demo1, Practical).mp4 |
157.58Мб |
3. Agglomerative Clustering (Demo1, Practical).srt |
18.50Кб |
3. Deep Learning Introduction.mp4 |
155.74Мб |
3. Deep Learning Introduction.srt |
25.94Кб |
3. K Nearest Neighbors (kNN) Algorithm.mp4 |
63.87Мб |
3. K Nearest Neighbors (kNN) Algorithm.srt |
16.05Кб |
4.1 breast-cancer-wisconsin_1.zip |
5.68Кб |
4.1 CreditCard_data.zip |
328.11Кб |
4. Agglomerative Clustering (Demo2, Practical).mp4 |
170.55Мб |
4. Agglomerative Clustering (Demo2, Practical).srt |
22.99Кб |
4. kNN Algorithm with Practical.mp4 |
108.35Мб |
4. kNN Algorithm with Practical.srt |
14.53Кб |
4. Prerequisite-Installations.mp4 |
22.94Мб |
4. Prerequisite-Installations.srt |
3.31Кб |
5. DBSCAN Density based method.mp4 |
200.93Мб |
5. DBSCAN Density based method.srt |
33.18Кб |
5. kNN Nearest Neighbors Implementation with Practical.mp4 |
146.54Мб |
5. kNN Nearest Neighbors Implementation with Practical.srt |
20.84Кб |
6. DBSCAN- How to select eps (with Practical).mp4 |
122.90Мб |
6. DBSCAN- How to select eps (with Practical).srt |
18.68Кб |
6. Support Vector Machine (SVM).mp4 |
113.96Мб |
6. Support Vector Machine (SVM).srt |
26.78Кб |
7.1 breast-cancer-wisconsin_1.zip |
5.68Кб |
7.1 SuperMarketData.zip |
1.53Кб |
7.2 CreditCard_data.zip |
328.11Кб |
7. DBSCAN- Algorithm (with Practical).mp4 |
225.88Мб |
7. DBSCAN- Algorithm (with Practical).srt |
29.31Кб |
7. SVM - Practical (linear).mp4 |
105.37Мб |
7. SVM - Practical (linear).srt |
14.76Кб |
8.1 Position_Salaries.zip |
328б |
8. Mean Shift Algorithm.mp4 |
135.68Мб |
8. Mean Shift Algorithm.srt |
23.91Кб |
8. SVM - Support Vector Regression (SVR) with Practical.mp4 |
154.06Мб |
8. SVM - Support Vector Regression (SVR) with Practical.srt |
23.99Кб |
9. Mean Shift Algorithm with Practical (1).mp4 |
119.55Мб |
9. Mean Shift Algorithm with Practical (1).srt |
16.09Кб |
9. SVM - Mathematics (Hyperplane).mp4 |
190.67Мб |
9. SVM - Mathematics (Hyperplane).srt |
42.56Кб |
TutsNode.com.txt |
63б |