Packt - Python Machine Learning Tips Tricks and Techniques
大小
758.2 MB
文件数
25
Info Hash:
D44DC115C354EB67ED354E926964D795A38FE931
收录时间
2025-12-22 01:37:12
更新时间
2025-12-22 01:37:12
文件列表 (25)
Exercise Files/code_33873.zip
270.27 MB
1.Improving Your Models Using Feature Engineering/02.Using Feature Scaling to Standardize Data.mp4
26.7 MB
1.Improving Your Models Using Feature Engineering/03.Implementing Feature Engineering with Logistic Regression.mp4
9.66 MB
1.Improving Your Models Using Feature Engineering/04.Extracting Data with Feature Selection and Interaction.mp4
16.47 MB
1.Improving Your Models Using Feature Engineering/05.Combining All Together.mp4
11.11 MB
1.Improving Your Models Using Feature Engineering/06.Build Model Based on Real-World Problems.mp4
12.55 MB
2.Feature Improvement with Non Linear Classification Techniques/07.Support Vector Machines.mp4
19.79 MB
2.Feature Improvement with Non Linear Classification Techniques/08.Implementing kNN on the Data Set.mp4
29.51 MB
2.Feature Improvement with Non Linear Classification Techniques/09.Decision Tree as Predictive Model.mp4
23.36 MB
2.Feature Improvement with Non Linear Classification Techniques/10.Tricks with Dimensionality Reduction.mp4
18.04 MB
2.Feature Improvement with Non Linear Classification Techniques/11.Combining All Together.mp4
18.71 MB
3.Power of Ensemble Learning with Python/12.Random Forest for Classification.mp4
20.54 MB
3.Power of Ensemble Learning with Python/13.Gradient Boosting Trees and Bayes Optimization.mp4
28.72 MB
3.Power of Ensemble Learning with Python/14.CatBoost to Handle Categorical Data.mp4
17.1 MB
3.Power of Ensemble Learning with Python/15.Implement Blending.mp4
23.29 MB
3.Power of Ensemble Learning with Python/16.Implement Stacking.mp4
28.31 MB
4.Recommender Systems/17.Memory-Based Collaborative Filtering.mp4
18.79 MB
4.Recommender Systems/18.Item-to-Item Recommendation with kNN.mp4
18.44 MB
4.Recommender Systems/19.Applying Matrix Factorization on Datasets.mp4
23.69 MB
4.Recommender Systems/20.Wordbatch for Real-World Problem.mp4
18.32 MB
5.Boost Your Overall Model Robustness/21.Validation Dataset Tuning.mp4
13.87 MB
5.Boost Your Overall Model Robustness/22.Regularizing Model to Avoid Overfitting.mp4
9.38 MB
5.Boost Your Overall Model Robustness/23.Adversarial Validation.mp4
12.46 MB
5.Boost Your Overall Model Robustness/24.Perform Metric Selection on Real Data.mp4
61.22 MB
1.Improving Your Models Using Feature Engineering/01.The Course Overview.mp4
7.89 MB