In this project, we will create a classification model to predict energy consumptions of buildings(EUI-High/Low) using XGBoost and Decision tree . We aim to use XGBoost to further improve accuracy of the model.
Libraries:
Sklearn
Numpy
Pandas
Programming Languages:
Python
Dataset Source:
This Energy consumption dataset Contains information from https://www.kaggle.com/claytonmiller/annual-energy-consumption-from-singapore-buildings accessed on 07/08/2021 from https://data.gov.sg/dataset/building-energy-performance-data which is made available under the terms of the Singapore Open Data Licence version 1.0 https://data.gov.sg/open-data-licence