Ensemble Learning Workshop by SMLRA

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

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

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