I just shared my journey of developing a Dota 2 match predictor using data analysis and machine learning. From the initial challenges to key insights, I cover everything along the way! The extended dataset is also available on GitHub for anyone interested.
Check it out here: https://medium.com/@masterhood13/building-a-dota-2-match-outcome-predictor-my-journey-and-learnings-fd60e1a79a23
GitHub repo: https://github.com/masterhood13/dota2predictor
Would love your feedback and suggestions!
Top comments (1)
Awesome work! As a fellow developer and someone who’s deeply interested in data analysis and AI, I really enjoyed reading about your journey. I can definitely relate to the challenges of refining models and finding the right features to improve prediction accuracy.
I'll be diving into your GitHub repo soon to explore the dataset and the code in more detail. I’m curious about the techniques you used for feature engineering and model selection – would love to hear more about that process!
Great job overall! Looking forward to seeing how this evolves!