This repo contains executable course notes and slides for the Applied ML course at Cornell and Cornell Tech (Fall 2023 edition).

Note that these notes are slightly different from the ones used in my Youtube lecture videos videos from the Fall 2020 edition of the course. You may find these in my other Github repo.

This repo is organized as follows.

.
├── README.md
├── slides.               # Course slides
├── lecture-notes         # Lecture notes (expanding on the material in the slides)
└── requirements.txt      # Packages needed for your virtualenv

You should be able to run all the contents of this repo using the packages provided in requirements.txt.

In a new virtualenv, run this:

pip install -r requirements.txt

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