Welcome to my collection of data science notebooks! This repository contains a variety of Jupyter notebooks where I explore different data science topics, techniques, and libraries. These notebooks serve as both a learning resource and a reference for various data science methodologies. Each notebook is self-contained, making it easy to follow along with the code and concepts.
- Machine Learning: Examples and projects related to supervised and unsupervised learning.
- Data Analysis: Exploratory data analysis using Python libraries like Pandas and Matplotlib.
- Statistical Methods: Implementation of statistical techniques in Python.
Feel free to explore, use, and contribute!
Please note this repo hasnt been refactored, so the structure and contents could be a bit messy ^^'