Energy-Demand-Exploration

This project is an exploration into data analysis and machine learning. Using Scikit Learn, I created a model that aims to predict the energy demand of a household given the external temperature. The model was trained using data from 27 houses in Vancouver and had an score of 0.1174 which is expected as temperature would likely be a predictor of base load rather than the energy demand at any given time.