tiagolascasas / Aalto-Data-Science

Predicting the Full-time Goal Count and Interest of Football Matches Using Linear and Quadratic Regressions, k-NN Classification and Logistical Regression

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Aalto-Data-Science

Project developed on the 2019/2020 occurrence of the Data Science course at Aalto University, Finland.

Project structure:

  • datasets - datasets to be used
  • docs - project description and report
  • analysis.ipynb - Jupyter notebook with all the code used for the analysis
  • requirements.txt - dependencies necessary to run the notebook
  • run.cmd - shorthand for jupyter lab

About

Predicting the Full-time Goal Count and Interest of Football Matches Using Linear and Quadratic Regressions, k-NN Classification and Logistical Regression


Languages

Language:Jupyter Notebook 100.0%Language:Batchfile 0.0%