kuleshov/cornell-cs5785-applied-ml
Teaching materials for the applied machine learning course at Cornell Tech
repo name | kuleshov/cornell-cs5785-applied-ml |
repo link | https://github.com/kuleshov/cornell-cs5785-applied-ml |
homepage | |
language | Jupyter Notebook |
size (curr.) | 39416 kB |
stars (curr.) | 95 |
created | 2021-03-26 |
license | |
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