AI Chess 112
Created for CMU’s 15-112 class, this chess engine handles full rule logic (castling, checkmate, promotion) with an AI that prioritizes capturing high-value pieces. Built using `cmu_graphics` and accessible through a menu-driven interface.
Run Instructions
- Download the cmu_graphics package and place alongside code
- Launch
Main_Menu.py to navigate
- Return to main menu at any time from within app
View on GitHub
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Social Media Analytics
Built in CMU's 15-110 course, this Python-based analysis explores bias and emotion in political Facebook and Twitter posts. Uses pandas, matplotlib, and NLTK to visualize trends by hashtag and account type.
Run Instructions
- Install required packages: pandas, matplotlib, nltk
- Run
hw6_social.py
- Call
runWeek1(), runWeek2(), etc. for modular analysis
View on GitHub
Social Media Analytics
Built in CMU's 15-110 course, this Python-based analysis explores bias and emotion in political Facebook and Twitter posts. Uses pandas, matplotlib, and NLTK to visualize trends by hashtag and account type.
Run Instructions
hw6_social.pyrunWeek1(),runWeek2(), etc. for modular analysis