Learning python libraries.
Learning Resources:
- Python Crash Course, 2nd Edition: A Hands-On, Project-Based Introduction to Programming by Eric Matthes
- Data Anlysis with Python: From Zero to Pandas by Jovian
- Python Data Science Handbook: Essential Tools for Working with Data by Jake VanderPlas
- Scipy Lecture Notes by scipy-lectures.org
- ML-For-Beginners Curriculum by Microsoft (on Github)
- Notebooks starts with MLFB (abbrevation for ML For Beginner) are assignments/notes for ML-For-Beginners Curriculum by Microsoft (on Github)