Machine learning is revolutionizing technology, and my journey into this fascinating domain is documented in my Machine Learning repository. This repository highlights key algorithms such as Linear Regression, Decision Trees, and Clustering, implemented with Python libraries like NumPy, pandas, and scikit-learn.

Each project reflects a real-world application, from predicting housing prices to clustering customer data. Through these projects, I’ve honed my skills in data preprocessing, feature engineering, and model evaluation.

Machine learning isn’t just about code—it’s about solving problems and uncovering insights. Feel free to check out my repository and join me in this exciting exploration of AI and data-driven innovation!