https://github.com/kuleshov/cornell-cs5785-2020-applied-ml

Teaching materials for the applied machine learning course at Cornell Tech (online edition)
https://github.com/kuleshov/cornell-cs5785-2020-applied-ml

Last synced: about 2 months ago
JSON representation

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

• Host: GitHub
• URL: https://github.com/kuleshov/cornell-cs5785-2020-applied-ml
• Owner: kuleshov
• Created: 2021-03-26T06:33:58.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-10-12T13:41:55.000Z (almost 2 years ago)
• Last Synced: 2024-05-14T15:32:36.314Z (4 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 37.6 MB
• Stars: 865
• Watchers: 20
• Forks: 236
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# 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](https://www.youtube.com/watch?v=vcE9WGbi4QY&list=PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83) 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](https://www.cs.cornell.edu/~kuleshov/)