Clark Summer 2019 Code

Built for 2019 Clark Summer Research Program at The University of Texas at Dallas.

About

This is all the source code for the projects built when being taught machine learning algorithms.

For the project I created specifically for the Clark Poster Symposium, see the upcoming project repository.

How to Run

Prerequisites

This repository requires Python 3.6 or later.

Installing dependencies

This repository uses a virtual environment to manage dependencies.

Run the following to install dependencies:

pip install -U requirements.txt

Table of Contents

• gradient_descent.py includes a simple gradient descent implementation with a provided function.
• perceptron.py contains a perceptron algorithm implementation.
• common.py contains utility functions for the whole repository.

License

This project uses the MIT License. See LICENSE.md for more information.