This GitHub repository contains my work on the self case study "ASHRAE - Great Energy Predictor III" (A Kaggle competition) assigned by the "team" at appliedaicourse (to know more about them, please check out the provided link). Have a look at this medium blog for full exposure of this case study.
ASHRAE_Great_Energy_Predictor_III(EDA).ipynb: Contains code for EDA on the dataset.
ASHRAE_Great_Energy_Predictor_III(EDA).pdf: PDF version of EDA notebook.
ASHRAE_Great_Energy_Predictor_III(Modeling).ipynb: Contains code for data modeling, a snapshot of Kaggle score, and more.
ASHRAE_Great_Energy_Predictor_III(Modeling).pdf: PDF version of Modeling notebook.
streamlitApp: Folder containing files necessary to run streamlit web app of this self case study on the Heroku platform.
You can check streamlit web app hosted on Heroku here:ashrae-great-energy-predictor