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Ensemble Learning Workshop by SMLRA

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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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