Machine Learning Fundamentals Project

This project applied a wide range of ML techniques, including supervised and unsupervised learning. I implemented classification, clustering, and regression models using real-world datasets. The project emphasized model evaluation, dimensionality reduction, and performance tuning.

Technologies Used: Python, Scikit-learn, Pandas, NumPy