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Hands-on Machine Learning for Data Mining [Video]
- Date: 2026-04-27
- Size: 876 MB
- Files: 22
File Name
Size
4.Combining Models/20.Boosting and Bagging.mp4
217 MB
1.Getting Started with Machine Learning/02.Characteristics and Examples of Machine Learning Models.mp4
3.7 MB
1.Getting Started with Machine Learning/03.Working with Neural Networks - Theory.mp4
15 MB
1.Getting Started with Machine Learning/04.Working with Neural Networks - Demonstration.mp4
54 MB
1.Getting Started with Machine Learning/05.Working with Support Vector Machines - Theory.mp4
7.2 MB
1.Getting Started with Machine Learning/06.Working with Support Vector Machines - Demonstration.mp4
23 MB
2.Understanding Models/07.General Model Interpretation.mp4
10 MB
2.Understanding Models/08.Using Graphs to Interpret Machine Learning Models.mp4
23 MB
2.Understanding Models/09.Using Statistics to Interpret Machine Learning Models.mp4
16 MB
2.Understanding Models/10.Using Decision Trees to Interpret Machine Learning Models.mp4
14 MB
3.Improving Individual Models/11.Modifying Model Options.mp4
12 MB
3.Improving Individual Models/12.Using Different Models.mp4
8.7 MB
3.Improving Individual Models/13.Removing Noise.mp4
13 MB
3.Improving Individual Models/14.Doing Additional Data Preparation.mp4
14 MB
3.Improving Individual Models/15.Balancing Data (Over_Under Sampling).mp4
62 MB
4.Combining Models/16.Combine Models.mp4
33 MB
4.Combining Models/17.Propensity Scores.mp4
14 MB
4.Combining Models/18.Meta-Level Modeling.mp4
102 MB
4.Combining Models/19.Error Modeling.mp4
192 MB
1.Getting Started with Machine Learning/01.The Course Overview.mp4
4.9 MB
4.Combining Models/21.Continuous Outcomes.mp4
36 MB
Exercise Files/code_34073.zip
199 kB