Python Learning Repository

This repository documents my progression from basic Python concepts to data science and machine learning applications.

Repository Structure

1. Python Basics

Foundational programming concepts including variables, loops, functions, and object-oriented programming.

2. Data Science

Introduction to data manipulation and analysis using the Pandas library. Includes data cleaning, reporting, and CSV handling examples.

3. Machine Learning

Building on the basics to explore NumPy, deeper Pandas workflows, and initial Machine Learning models using scikit-learn.

Disclaimer

This repository documents my learning journey with AI assistance.

Note: Comments were generated by AI to improve documentation quality. All code was written by me.