kuleshov / cornell-cs5785-2020-applied-ml

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

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

cornell-cs5785-2020-applied-ml's Issues

Requirement is not correct

In Lecture 2 notebook, load_diabetes used argument 'as_frame', which is available in scikit-learn version >= 0.23
Requirement.txt sets "scikit-learn=0.20.4", and include "sklearn==0.0"?

Licensing

Hi @kuleshov ,

thanks for sharing these amazing materials! Do you think it would be possible to add a license file? Others could then reuse the materials, e.g. for teaching.

Thanks!

Best,
Robert