Machine learning Tutorial

An ML Tutorial

Machine Learning Tutorial

In this series of post, we’ll be learning ML concepts which are required for Data Scienctist role. We will go through from basic to adanced level step by step.

• Machine Learning Introduction
  • Types of Learning in ML
    • Supervised Learning
    • Unsupervised Learning
    • Reinforcement Learning
  • Types of problem statement
    • Classification
    • Regression
  • [parameteric and non-parameteric learning algorithm] (https://github.com/fastai/fastpages)
  • Linear Regression
  • Logistic Regression
  • bias, varaiance tradeoff
  • [Overfitting and Underfitting data] (https://github.com/fastai/fastpages)
  • Evaluation Metrics