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The experience of building ML models in R is amazing. With an incredible active community & libraries support, R makes it 1000 times easier for a beginner to endeavour to pursue machine learning / data science.

For the purpose of sharing knowledge, this repository introduces you to various machine learning techniques I've learned over a course of period. Some of the technique would include:

  1. Bagging
  2. Boosting
  3. Ensemble
  4. Validation Techniques

This repository will also contain material on deep learning and artificial intelligence.