Welcome to the Math & Data Science Digital Library, a curated collection of PDF books covering foundational and advanced topics in Mathematics, Machine Learning, and Data Science. This repository is a resource for students, professionals, and enthusiasts looking to deepen their understanding in these fields.

The repository is organized into topic-wise folders for easy navigation. Each folder contains books specific to a particular domain.

• Probability & Statistics: Deep dives into probability theory, statistical methods, and applications.
• Discrete Mathematics: Key concepts like combinatorics, graph theory, and logic.
• Machine Learning: Beginner to advanced books on algorithms, models, and techniques.

1. Browse Folders: Navigate to the folder that matches your topic of interest.
2. Download PDFs: Click on the PDF title to download or read online.
3. Learn and Explore: Start your journey into the exciting world of mathematics and data science!

We welcome contributions to expand this repository! If you have valuable books to share:

1. Fork the Repository: Make a copy of this repository to your GitHub account.
2. Add Your Books: Place your PDFs in the appropriate folder, or create a new folder for a unique topic.
3. Submit a Pull Request: Include a brief description of your additions.

• The PDFs are provided for educational and non-commercial use only.