Note: dataset is a random 1% sample from the nycflights13 dataset

Predicting wind turbine power output in Canada using random forests and gradient boosting machines (xgboost)

Using Random Forests and Elastic Nets to predict Home Selling Prices

Using Random Forests and Elastic Nets to predict Hotel Average Daily Rates

Using EDA to understand crime in DC at the macro/micro level Conducting anomaly detection to find days of abnormal crime activity Predicting crime levels for the next 3 months

Predicting Solar Plant Power using the prophet package

Learning the leaflet package