dataset: https://www.kaggle.com/anthonypino/melbourne-housing-market
ipynb:
(1)https://github.com/isheunesutembo/DecisionTrees
(2)https://github.com/isheunesutembo/Predicting-House-Prices-Using-Random-Forest-Flask-Web-Application
template: https://mdbootstrap.com/freebies/jquery/full-page-video-carousel/
(choice)
0. start jupyter-notebook or anaconda
0-1. start ipynb(1) or (2)
0-2. 'housepriceprediction.joblib' file will be stored in your directory
1. Start Cmd(Windows) or Terminal(macOS)
$ cd /Users/user/Downloads/Predicting_Melbourne_housig_price
$ python3 app.py
- go to http://localhost:5000/#
- Use this