Welcome to the Machine Learning using Python SIG hosted by IEEE BPIT!
This SIG is designed to introduce participants to the exciting world of Machine Learning using Python programming language. Over multiple sessions, participants will learn about the key concepts and techniques involved in Machine Learning, as well as how to apply them in real-world scenarios using Python.
The SIG will be conducted in multiple sessions, each focusing on different aspects of Machine Learning. In our first session, we will cover the following topics:
- Linear Algebra
- Basics of Supervised Learning 1: Linear Regression
To participate in this SIG, you will need:
- A laptop/desktop computer with internet connectivity
- Python 3 installed on your computer/Google Colab account
We're always looking for ways to improve our SIG and make it more valuable for participants. If you have any feedback or suggestions, please feel free to share them with us at (notion link).
If you have any questions or concerns about the SIG, please feel free to contact us at (notion link).
We're excited to bring you this SIG, and we hope to see you there!
Best regards,
Team IEEE BPIT