Packt - Python Machine Learning Tips Tricks and Techniques
File List
- Exercise Files/code_33873.zip 270.3 MB
- 5.Boost Your Overall Model Robustness/24.Perform Metric Selection on Real Data.mp4 61.2 MB
- 2.Feature Improvement with Non Linear Classification Techniques/08.Implementing kNN on the Data Set.mp4 29.5 MB
- 3.Power of Ensemble Learning with Python/13.Gradient Boosting Trees and Bayes Optimization.mp4 28.7 MB
- 3.Power of Ensemble Learning with Python/16.Implement Stacking.mp4 28.3 MB
- 1.Improving Your Models Using Feature Engineering/02.Using Feature Scaling to Standardize Data.mp4 26.7 MB
- 4.Recommender Systems/19.Applying Matrix Factorization on Datasets.mp4 23.7 MB
- 2.Feature Improvement with Non Linear Classification Techniques/09.Decision Tree as Predictive Model.mp4 23.4 MB
- 3.Power of Ensemble Learning with Python/15.Implement Blending.mp4 23.3 MB
- 3.Power of Ensemble Learning with Python/12.Random Forest for Classification.mp4 20.5 MB
- 2.Feature Improvement with Non Linear Classification Techniques/07.Support Vector Machines.mp4 19.8 MB
- 4.Recommender Systems/17.Memory-Based Collaborative Filtering.mp4 18.8 MB
- 2.Feature Improvement with Non Linear Classification Techniques/11.Combining All Together.mp4 18.7 MB
- 4.Recommender Systems/18.Item-to-Item Recommendation with kNN.mp4 18.4 MB
- 4.Recommender Systems/20.Wordbatch for Real-World Problem.mp4 18.3 MB
- 2.Feature Improvement with Non Linear Classification Techniques/10.Tricks with Dimensionality Reduction.mp4 18.0 MB
- 3.Power of Ensemble Learning with Python/14.CatBoost to Handle Categorical Data.mp4 17.1 MB
- 1.Improving Your Models Using Feature Engineering/04.Extracting Data with Feature Selection and Interaction.mp4 16.5 MB
- 5.Boost Your Overall Model Robustness/21.Validation Dataset Tuning.mp4 13.9 MB
- 1.Improving Your Models Using Feature Engineering/06.Build Model Based on Real-World Problems.mp4 12.6 MB
- 5.Boost Your Overall Model Robustness/23.Adversarial Validation.mp4 12.5 MB
- 1.Improving Your Models Using Feature Engineering/05.Combining All Together.mp4 11.1 MB
- 1.Improving Your Models Using Feature Engineering/03.Implementing Feature Engineering with Logistic Regression.mp4 9.7 MB
- 5.Boost Your Overall Model Robustness/22.Regularizing Model to Avoid Overfitting.mp4 9.4 MB
- 1.Improving Your Models Using Feature Engineering/01.The Course Overview.mp4 7.9 MB
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