This course covers how to build Machine Learning models from scratch using Python and Scikit-learn libraries. Course structure is captured below
- Machine Learning process
- Python, NumPy, Pandas basics
- Building classification models using Scikit-learn
- Deploying classification models using Python Flask web framework
- Building Regression models using Scikit-learn
As a prerequisite students should have basic programming skills and high school level Mathematics knowledge before getting started with this course. No prior knowledge of Machine Learning is required.