Predicting CS2 Market Prices Using Machine Learning

This coursework focuses on predictive modeling in the CS2 market, drawing parallels with financial markets. It involves binary price prediction using Steam Market API data with processing steps like cleaning and handling anomalies. Feature engineering includes log-returns, rolling statistics, and trend detection. The project employs F1-score optimization, time-aware cross-validation, and evaluates metrics such as Accuracy and AUC to deliver scripts, documentation, and insightful predictive...