/basket-shots

Predicting Basket Shots outcomes using Suppor Vector Machines. Data Technology and Machine Learning course project.

Primary LanguageRGNU General Public License v3.0GPL-3.0

Basket Shots

Predicting Basket Shots outcomes using SVM

By Matteo Coppola, Luca Palazzi, Antonio Vivace.

Data Technology and Machine Learning (CS MSc) exam final project. Academic year 2018/2019.

Documentation

Slides



Datasets are hosted using Git LFS. Before cloning this repository, be sure to have it installed.

Documentation

Requirements

A lot of additional TeX packages are used. Inkscape must be installed and available in the PATH.

On Debian systems: sudo apt install texlive-full inkscape. The Python 3 package Pygment is needed and pygmentize must available in the PATH.

pip3 install Pygments
# Check if it's available
pygmentize -V

Build:

cd docs/
./build.sh