Project:
Build a Streamlit web app that showcase an EDA for the King County House prices data set, and predict
a house price based on feautures provided by the user.
Files:
- kc_house_data.csv: Data set file
- App_Data_EDA.py, App_KCP.py, and App_Predict_page.py: Streamlit app files
- Procfile, setup.sh, and requirements.txt: Files required for deployment on Heroku
- regr.pkl and scaler.pkl: Files containing the sklearn regression and standard scaler model
The MLP_kc folder contains the MLP model in the TF SavedModel format.
The web app is deployed on Heroku, and can be used via this link, or on Streamlit share via this link The EDA notebook with more detailed analysis is available on Kaggle.