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