/nba_elt_mlflow

ML Pipeline for NBA ELT Project

Primary LanguagePython

ML Pipeline for NBA ELT Project

Tests Deployment Code Style

Version: 1.7.0

ML Pipeline

The ML Pipeline pulls input data built by dbt for today's NBA Games and uses a Logistic Regression Model to generate Win Prediction %s for every team.

These Win Predictions are served on the Dash Server as well as the REST API.

Tests

To run tests locally, run make test.

The same Test Suite is ran after every commit on a PR via GitHub Actions.

Project

nba_pipeline_diagram

  1. Links to other Repos providing infrastructure for this Project