Teaching
work experience
This project contains comprehensive teaching materials developed for tutoring a graduate student in Machine Learning. The course covers:
- Python data types introduction
- Basic data structures and transformation
- Exploratory Data Analysis (EDA)
- Data preprocessing techniques
- Data modeling
- Introduction to PyTorch
- Practical Projects:
- Machine Learning: Titanic survival prediction
- Deep Learning: Field-weighted Factorization Machines (FwFMs) implementation
This curriculum provides a structured approach to learning ML concepts, from foundational Python skills to advanced deep learning applications, with hands-on projects for practical experience.