Teaching materials for the applied machine learning course at Cornell Tech

Applied Machine Learning (Cornell CS5785)

This repo contains executable course notes and slides for the Applied ML course at Cornell and Cornell Tech.

These materials accompany a set of Youtube lecture videos from the Fall 2020 edition of the course.

Contents

This repo is organized as follows.

.
├── README.md
├── notebooks             # Notebooks and slides
└── requirements.txt      # Packages needed for your virtualenv

Setup

Requirements

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

Feedback

Please send feedback to Volodymyr Kuleshov