This project is the data analysis for a sharing bike company in Seattle.
Used Logistic, Decision Tree, and Random Forest to predict whether a station will receive demands exceed its capacity.
Used Regression and Decison Tree to predict the rental volume under given situation.
Used k-means to cluster the stations.