LSTM neural network for predicting player actions in CS:GO matches with 87.9% accuracy on professional gameplay data
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Updated
Feb 12, 2026 - Python
LSTM neural network for predicting player actions in CS:GO matches with 87.9% accuracy on professional gameplay data
Twitch category live stream data extractor
This project has the objective of training valorant teams stats throughout the championships and predict the VALORANT Champions winners @ Setember 2026
Machine Learning project to predict Counter-Strike 2 (CS2) match outcomes using data scraped from HLTV.org.
AI coaching companion for League of Legends using Amazon Bedrock Claude with year-end recaps and performance insights
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