This repository includes hands-on projects, Jupyter Notebooks, course notes, and experimentations with key ML libraries such as pandas, numpy, matplotlib, and more. It serves as both a personal learning log and a resource for anyone interested in understanding and exploring machine learning concepts through practical examples.