Machine Learning for Finance with Python

Johns Hopkins University - SAIS

This class introduces ML methods and applies to financial data. Below is the list of topics covered in the class:

1. Introduction to ML and classical time series methods

2. Linear ML methods

3. Tree based methods

4. Hyperparameter selection and CV

5. Introduction to Neural Nets

Here is the Syllabus. To access lecture codes please see my Github Repo.