I recently completed a project using Python to build a Dota 2 Match Outcome Predictor. The process involved data collection, feature engineering, and implementing machine learning models to predict match outcomes. In the article, I walk through the technical details, challenges I encountered, and key lessons learned. Whether you’re into data science, machine learning, or gaming, I think you’ll find something interesting.

Check out the full article here: https://medium.com/@masterhood13/buildin…60e1a79a23

I’d love to hear your thoughts or suggestions!