🤖 Mastering AI with Python

🧠 🛠️ Building AI from Scratch with Python

📘 AI Learning Journey with Python

Welcome to my AI Practice repository! This project is created to help me learn and implement various Artificial Intelligence (AI) algorithms using Python.

📌 Objective

To practice core AI concepts and build a strong foundation by implementing popular algorithms, solving problems, and building small projects.

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📚 Topics Covered

• ✅ Search Algorithms (BFS, DFS, A*)
• ✅ Minimax Algorithm (with and without Alpha-Beta Pruning)
• ✅ Constraint Satisfaction Problems (CSP)
• ✅ Logic and Inference
• ✅ Machine Learning Basics (Linear Regression, KNN, etc.)
• ✅ Neural Networks (basic implementation)
• ✅ Natural Language Processing (NLP basics)

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🔧 Requirements

Install the required Python libraries:

pip install -r requirements.txt
numpy
pandas
scikit-learn
matplotlib
nltk

AI-Practice/
│
├── search_algorithms/
│   ├── bfs.py
│   ├── dfs.py
│   └── a_star.py
│
├── minimax/
│   ├── tic_tac_toe_minimax.py
│   └── alpha_beta.py
│
├── machine_learning/
│   ├── linear_regression.py
│   └── knn_classifier.py
│
├── nlp/
│   └── text_processing.py
│
├── requirements.txt
└── README.md

python filename.py
python search_algorithms/bfs.py

📈 Goal
To gain hands-on experience with AI concepts and prepare for advanced topics like Deep Learning and Reinforcement Learning.

🙌 Contributions
This is my personal learning project, but you're welcome to give suggestions or improvements!

📞 Contact
Created by Rahul Kumar
Email: 2470251@kiit.ac.in
MCA Student, KIIT Bhubaneswar


Let me know if you want a **GitHub version** or if you're working on a **specific AI topic** like Chatbots, Neural Nets, or Reinforcement Learning.