Match Predict

Making win/loss predictions from Aligulac's dataset

App delpoyed at Heroku

Tech Stack:

Python
Pandas
Scikit-Learn
XGBoost
Dash

Dependancies:

Pipfile

Notebook(s):

ipynb notebook

• Downlaod data from Source
  
• Input own path and file names
• Execute cells top-to-bottom

The Data:

Trimmed to include games from the start of LOTV expansion to date of database dump(June 2019)
Reshaped to aggregate wanted stats
Train/Test split at 75/25

The Model:

XGBoost Classification algorithm
Hyper-Parameterized with scikit-learns's RandomizedSearchCV
Features decided via permutation importance
Evaluted with the accuracy scoring metric

Front-End:

Boilerplate Dash framework