March 31, 2021

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kuleshov/cornell-cs5785-applied-ml

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

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