Ensemble Learning Workshop by SMLRA

A repository for the workshop on Ensemble Learning. Topics Covered are as follows:

Working of Decision Trees
Intuition behind Ensemble Learning methods:
1. Bagging
2. Boosting
3. Blending
4. Stacking
Working and Intuition of Popular Algorithms like:
1. Adaboost
2. Gradientboost
3. XGboost
4. Random Forests
5. Isolation Forests

For more ML/AI Resources visit our Official Website

Recordings will be available at on our Youtube Channel

Name		Name	Last commit message	Last commit date
Latest commit History 21 Commits
Bagging Algorithm		Bagging Algorithm
Boosting Algorithms		Boosting Algorithms
Decision Trees		Decision Trees
ensembleIntro		ensembleIntro
README.md		README.md

Navigation Menu