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AI Applications

This repository contains small machine learning and reinforcement learning projects implemented in Python.


📚 Projects included

  • Spam Classifier (SPAM_classifier.py)
  • TicTacToe AI agent
  • Reinforcement Learning experiments (RL1, RL2)
  • Simple simulation models (Cake.py)

🎯 Goal

The goal of this repository is to practice and understand practical AI/ML applications, including:

  • Supervised learning
  • Reinforcement learning basics
  • Game AI
  • Text classification

🛠️ Tech Stack

  • Python
  • NumPy
  • Basic ML concepts
  • Reinforcement Learning fundamentals

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ML and RL experiments in Python — spam classification, game AI, and reinforcement learning

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