https://github.com/pddiii/2024-nhl-standings

Predicting the 2024 Stanley Cup champion using machine learning.
https://github.com/pddiii/2024-nhl-standings

hockey latex nhl nhl-analytics nhl-api nhl-data python r sports-analytics xgboost-regression

Last synced: about 2 months ago
JSON representation

Predicting the 2024 Stanley Cup champion using machine learning.

• Host: GitHub
• URL: https://github.com/pddiii/2024-nhl-standings
• Owner: pddiii
• Created: 2024-03-16T05:53:32.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-08-22T22:22:59.000Z (4 months ago)
• Last Synced: 2024-08-23T00:02:30.787Z (4 months ago)
• Topics: hockey, latex, nhl, nhl-analytics, nhl-api, nhl-data, python, r, sports-analytics, xgboost-regression
• Language: R
• Homepage:
• Size: 2.81 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# 2024-NHL-Standings

This project aims to use predictive models in order to predict the final standings of the NHL season. The data used to create the models focuses on the period of time in the season where there are 10 to 15 games left. 

## Data Cleaning

The file for data cleaning [Data Cleaning](data_cleaning.py)

## Data Collection

The data was collected using the NHL API.

The file for data collection [Data Collection](data_collection.py)

## Model Information

[Model](end_season_model.R)

## Report

If you want to see results, and get an in depth analysis of the model created please read the [Report](reportFiles/report.pdf)