Class notes
Mod 15b Ensemble learning and Random Forest
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Uploaded on
30-05-2025
Written in
2022/2023
This document covers Ensemble learning, bagging, bootsrapping, boosting, random forest and XGB in detail, along with their pros and cons. Ensemble learning means combination of available ML algorithm.
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Written for
- Course
- Data Science
All documents for this subject (213)
Document information
- Uploaded on
- May 30, 2025
- Number of pages
- 15
- Written in
- 2022/2023
- Type
- Class notes
- Professor(s)
- Kousik
- Contains
- All classes
Subjects
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ensemble learning
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voting classifier
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voting regressor
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bias
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bagging
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bootstrapping
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random forest
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boosting
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gradient boosting
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error computing
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extreme gradient boosting
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disadvantages of ensemble learning
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xg
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