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01 - The Course Overview.mp4 | 27.02 MB |
02 - Using Feature Scaling to Standardize Data.mp4 | 37.45 MB |
03 - Implementing Feature Engineering with Logistic Regression.mp4 | 11.62 MB |
04 - Extracting Data with Feature Selection and Interaction.mp4 | 21.92 MB |
05 - Combining All Together.mp4 | 13.06 MB |
06 - Build Model Based on Real-World Problems.mp4 | 14.56 MB |
07 - Support Vector Machines.mp4 | 23.28 MB |
08 - Implementing kNN on the Data Set.mp4 | 34.24 MB |
09 - Decision Tree as Predictive Model.mp4 | 27.09 MB |
10 - Tricks with Dimensionality Reduction.mp4 | 20.50 MB |
11 - Combining All Together.mp4 | 21.30 MB |
12 - Random Forest for Classification.mp4 | 23.87 MB |
13 - Gradient Boosting Trees and Bayes Optimization.en.ttml | 17.83 kB |
13 - Gradient Boosting Trees and Bayes Optimization.mp4 | 33.36 MB |
14 - CatBoost to Handle Categorical Data.en.ttml | 10.45 kB |
14 - CatBoost to Handle Categorical Data.mp4 | 20.10 MB |
15 - Implement Blending.en.ttml | 14.92 kB |
15 - Implement Blending.mp4 | 27.40 MB |
16 - Implement Stacking.en.ttml | 13.56 kB |
16 - Implement Stacking.mp4 | 31.20 MB |
17 - Memory-Based Collaborative Filtering.en.ttml | 12.31 kB |
17 - Memory-Based Collaborative Filtering.mp4 | 21.33 MB |
18 - Item-to-Item Recommendation with kNN.en.ttml | 12.54 kB |
18 - Item-to-Item Recommendation with kNN.mp4 | 21.22 MB |
19 - Applying Matrix Factorization on Datasets.en.ttml | 15.20 kB |
19 - Applying Matrix Factorization on Datasets.mp4 | 27.50 MB |
20 - Wordbatch for Real-World Problem.en.ttml | 9.69 kB |
20 - Wordbatch for Real-World Problem.mp4 | 23.25 MB |
21 - Validation Dataset Tuning.en.ttml | 10.80 kB |
21 - Validation Dataset Tuning.mp4 | 22.12 MB |
22 - Regularizing Model to Avoid Overfitting.en.ttml | 8.60 kB |
22 - Regularizing Model to Avoid Overfitting.mp4 | 14.60 MB |
23 - Adversarial Validation.en.ttml | 9.74 kB |
23 - Adversarial Validation.mp4 | 19.97 MB |
24 - Perform Metric Selection on Real Data.en.ttml | 28.57 kB |
24 - Perform Metric Selection on Real Data.mp4 | 220.23 MB |