ML Models

A collection of machine learning models and practice projects built using Python and Jupyter Notebook while learning core ML concepts.

Models Included

• Linear Regression
• Logistic Regression

Tech Stack

• Python
• NumPy
• Pandas
• Matplotlib
• Scikit-learn
• Jupyter Notebook

Repository Structure

Each model contains:

• Jupyter Notebook implementation
• Dataset files (CSV)
• Saved model files (.pkl)

Purpose

This repository is created for:

• Machine learning practice
• Understanding ML algorithms
• Model implementation and experimentation