This repo provides the material to support the work undertaken by the Data Science Campus to explore using machine learing to predict energy efficiency.
Specifically we explore:
- Data from Energy Performance Certificates (EPC)
- Steps needed to clean the EPC data
- Feature sets
- Machine learning models for predciting the energy efficiency
The full report gives detail on the data sets used. Please note for data security reasons it isn't possible to publish the code for everything contained with this report.
How to use this repo
The study is implemented through a series of files that can be found in the ./01_code folder. Make sure you read the ./01_code/config-explanation.md first on how you should set up your config file, collect required data sets and name all your files.