AI & Machine Learning Foundations Lab Practicals

🧠 Artificial Intelligence Practicals

1. Study of PROLOG Programming and simple facts
2. Depth First Search – Water Jug Problem
3. Breadth First Search – Tic Tac Toe
4. Best First Search and A* for 8-Puzzle
5. N-Queens Problem using PROLOG
6. Traveling Salesman Problem

🤖 Machine Learning Practicals

1. Python Libraries: Math, Statistics, NumPy, SciPy
2. Pandas and Matplotlib for ML Applications
3. Dataset Creation, Loading and Preprocessing
4. Decision Tree using ID3 Algorithm
5. Random Forest with varying number of trees
6. Simple Linear Regression
7. Logistic Regression on Iris Dataset
8. KNN Classification with different K values
9. Support Vector Machine with various kernels
10. K-Means Clustering with different K values

🚀 Projects

• Disease Prediction Using Machine Learning
• Wine Type Prediction Using Deep Learning

🎯 Learning Outcomes

• Understand AI and Machine Learning fundamentals
• Implement supervised and unsupervised algorithms
• Apply ML techniques to real-world datasets
• Perform data preprocessing and feature selection

⚠️ Disclaimer

This repository is intended only for educational purposes. Students are advised to understand the concepts before implementation.

⭐ Support

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👤 Author

Created by Saifii786