Built a model using Random Forest Regression model to forecast the bike rental demand of Bike Sharing program in Washington, DC based on historical usage patterns. [Tech stack: Python, scikit-learn, numpy, pandas, seaborn, matplotlib]
Website Link : https://archive.ics.uci.edu/ml/datasets/bike+sharing+dataset