Machine Learning Fundamentals
Objective: Unit 2 covers the fundamental design principles in building high performance machine learning models? What are the most powerful techniques to use, and how do we get them to perform at their best? Unit 2 trains students in common problems and techniques practitioners need to use to build reliable data science projects.
Tools used: Scikit-Learn, Pandas, xgboost, streamlit