- Please refer CONTRIBUTING.md for contribution guidelines.
- Please feel free to raise any genuine issue you may have, however it has been noticed that few people open empty issues to raise their github contribution on their account. Such spammers will be blocked.
- You are welcome to contribute, please create PR for actual free courses.
Table of Contents
- CS109 Data Science
- Data Science Essentials
- Learning From Data from California Institute of Technology
- Mathematics for Machine Learning by University of California, Berkeley
- Foundations of Data Science by Avrim Blum, John Hopcroft, and Ravindran Kannan
- Python Data Science Handbook
- CS 221 โ Artificial Intelligence
- Ten Lectures and Forty-Two Open Problems in the Mathematics of Data Science
- Python for Data Analysis by Boston University
- TEST
- [Test](Test link)