Skip to content

Teaching materials for the applied machine learning course at Cornell Tech (online edition)

Notifications You must be signed in to change notification settings

RajeshRk18/cornell-cs5785-2020-applied-ml

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 

Repository files navigation

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

About

Teaching materials for the applied machine learning course at Cornell Tech (online edition)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%