In this project, we will be working with New York City's publicly available building energy data.
####The goal is to use the energy data to build a model that can predict a building's Energy Star score
#We will follow the general machine learning workflow step by step:
1- Data cleaning and formatting 2- Exploratory analysis of the data 3- Engineering and feature selection 3- Comparing multiple machine learning models on a performance metric 4- Perform hyperparameter tuning on the best model 5- Evaluate the best model on the test set 6- Interpret the model results 7- Draw conclusions and document the work