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day10-ensemble-methods's Introduction

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Pre-Read

  1. Bagging
  2. Boosting
  3. Popular Ensemble Methods: An Empirical Study
  4. Ensemble Learning

Learning Objectives

  1. Learn what Bagging is and how to use to build models
  2. Learn what Boosting is and how to use to build models
  3. Learn what Stacking is and how to use to build models
  4. Understand how ensemble methods affect bias - variance trade-off

Hands-on Skills

  1. Bagging using sklearn
  2. Stacking using mlextend

Slides

@gslides

Notebooks

Assignments

Post Reads

  1. sklearn Documentation on Bagging Algorithms
  2. mlextend Documentation
  3. sklearn ensemble methods

day10-ensemble-methods's People

Contributors

gyandhanee avatar

Watchers

Soumendra Prasad Dhanee avatar James Cloos avatar Suraj Jadhav avatar PradeepJaiswar avatar Mayuresh Suresh Shilotri avatar Mudassir Khan avatar Sangam Angre avatar Shweta Doshi avatar

Forkers

ameya-s

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