Data Science Projects Collection

This repository is a collection of data science projects inspired by various online courses I've attended, particularly Udemy courses such as:

• Python for Data Science and Machine Learning Bootcamp by Jose Portilla
• Machine Learning A-Z by Kirill Eremenko and Hadelin de Ponteves

And from MIT OpenCourseWare:

• MIT 6.100L by Dr. Ana Bell

Project Structure

The repository is organized into three main sections:

• Data Analysis: Projects focused on data exploration, visualization, and analysis.
• Machine Learning: Projects covering traditional machine learning algorithms, supervised and unsupervised learning.
• Deep Learning: Projects involving neural networks, deep learning models, and advanced AI techniques.

Requirements

To run the projects in this repository, you'll need the following Python libraries:

• matplotlib
• numpy
• pandas
• seaborn
• scikit-learn

You can install these dependencies using pip:

pip install matplotlib numpy pandas seaborn scikit-learn

Development Notes

As I organize and complete individual projects from my learning journey, I'll be releasing them one by one into this collective repository. Each project will be self-contained within its respective folder, with detailed documentation and code explanations.