/udacityUd120Lessons

Implemented mini-projects from Udacity's intro to AI course

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

Udacity - Intro to Artificial Intelligence Mini-Projects

Install

This repo contains the implemented mini-projects for the Intro to Artificial intelligence course on Udacity, taught by Sebastian Thrun and Katie Malone.

This project requires Python 2.7 and the following Python libraries installed:

In addition, you will need to be able to run an jupyter Notebook to go along with this project.

Run

In a terminal/command window, go to the top-level project directory udacityUd120Lessons/ (that contains this README). Then run:

jupyter notebook lessons/NAMEOFNOTEBOOK.ipynb

Data

The datasets used in this project are either available through udacity/ud120-projects or scikit-learn built-in datasets.

Note - Current Students

Even though it may be tempting to go through this repo and copy the code, I suggest you refrain from doing so until you have implemented your own mini-projects.

License

The contents of this repository are covered under the GNU GENERAL PUBLIC LICENSE.