The project is based on building a model and training a Machine learning model using the H2O flow tool and R studio to predict the savings made by the model achievable from the thermal comfort level.
Only H2O flow and R studio show be used for this project.
Read the "what to do" document carefully and also check out the additional attachments provided. You can use any one of the data file(out of three) provided. Some scripts have been provided for your reference, you can use them at your convince.
Write a report showing why you use the specific machine learning model(DRF, GBM, DLNN, etc) show the scoring history- deviance, variable importance, output validation metrics.
Show the plots between the predicted data vs original data. The sample report has been attached.