This repository contains Jupyter notebooks developed during the process of learning core Machine Learning concepts and algorithms. Each notebook demonstrates practical applications, code, and notes from study sessions.
Supervised_ML: Notebooks on supervised learning topics.Unsupervised_ML: Notebooks on unsupervised learning topics.
Feel free to browse the folders and open notebooks in Jupyter or Google Colab. All notebooks use standard Python machine learning libraries.
Created as personal study notes to document hands-on exploration of machine learning topics and techniques. Useful for students and practitioners who want to review, test, or build upon core ML workflows.