Machine learning models for predicting performance in the video game "Jo Wilder and the Capitol Chase." This was a final project completed for CIS 5450: Big Data Analytics at Penn. Models include logistic regression, random forest, and click-embedding XGBoost. See website for full notebook.

• Websitehttps://github.com/kyle1iao/Jo-Wilder-Predictions
• Thumbnailhttps://pbswisconsineducation.org/jowilder/play-the-game/
• PlatformN/A
• StackScikit-Learn, PyTorch, Pandas, Matplotlib, Seaborn