AI-from-scratch

This repository is a series of machine learning, artificial intelligence, and data science algorithms built from scratch as a learning experience.

The following algorithms are implemented in Python:

• Supervised Learning

  • Linear regression

• Markov Decission Precoss (MDP) and Reinforcement Learning (RL)

  • Basics of MDP (grid world)
  • Policy Iteration
  • Value Iteration
  • Model-based Adaptive Dynamic Programming (ADP)
  • Model-free Monte Carlo (MC)
  • Q-Learning