• Used Google Collaboratory, a programming Python language by Google to predict and showcase the weather patterns of December 2020 and its impact on CitiBike ridership. • Utilized Pandas for data manipulation and Matplotlib for data visualization to illustrate the relationship between weather patterns and CitiBike ridership. • Applied machine learning models such as linear regression or random forests to forecast CitiBike ridership based on historical weather data. • Also showcased this project in the 2024 Experimental Learning Symposium.