Notebooks on ML Models (Python) & Scientific Computing (Julia): Theory and Code

During the summer of 2021, I created two notebooks:

• Machine Learning Models with Python (PDF): 80-page document summarizing machine learning models with theoretical explanations and Python code implementations. Compiled from 20 books and various papers, it also served as a learning resource for friends.

• Scientific Computing with Julia (PDF): 27-page document on scientific computing with Julia, covering mathematical modeling, numerical methods for solving equations, and hybrid techniques like PINNs, with practical examples and Julia code implementations.