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| 01.The Course Overview.mp4 |
7.89Мб |
| 02.Using Feature Scaling to Standardize Data.mp4 |
26.70Мб |
| 03.Implementing Feature Engineering with Logistic Regression.mp4 |
9.66Мб |
| 04.Extracting Data with Feature Selection and Interaction.mp4 |
16.47Мб |
| 05.Combining All Together.mp4 |
11.11Мб |
| 06.Build Model Based on Real-World Problems.mp4 |
12.55Мб |
| 07.Support Vector Machines.mp4 |
19.79Мб |
| 08.Implementing kNN on the Data Set.mp4 |
29.51Мб |
| 09.Decision Tree as Predictive Model.mp4 |
23.36Мб |
| 10.Tricks with Dimensionality Reduction.mp4 |
18.04Мб |
| 11.Combining All Together.mp4 |
18.71Мб |
| 12.Random Forest for Classification.mp4 |
20.54Мб |
| 13.Gradient Boosting Trees and Bayes Optimization.mp4 |
28.72Мб |
| 14.CatBoost to Handle Categorical Data.mp4 |
17.10Мб |
| 15.Implement Blending.mp4 |
23.29Мб |
| 16.Implement Stacking.mp4 |
28.31Мб |
| 17.Memory-Based Collaborative Filtering.mp4 |
18.79Мб |
| 18.Item-to-Item Recommendation with kNN.mp4 |
18.44Мб |
| 19.Applying Matrix Factorization on Datasets.mp4 |
23.69Мб |
| 20.Wordbatch for Real-World Problem.mp4 |
18.32Мб |
| 21.Validation Dataset Tuning.mp4 |
13.87Мб |
| 22.Regularizing Model to Avoid Overfitting.mp4 |
9.38Мб |
| 23.Adversarial Validation.mp4 |
12.46Мб |
| 24.Perform Metric Selection on Real Data.mp4 |
61.22Мб |
| code_33873.zip |
270.27Мб |