California House Pricing 🏠

A Flask app & ML Sklearn to predict California house pricing.

Download/clone this repo, open and simply run it:

$ git clone https://github.com/LintangWisesa/Flask_Sklearn_CaliforniaHouse.git

$ cd Flask_Sklearn_CaliforniaHouse

$ py app.py

It will automatically run on http://localhost:5000/. Open it via your favourite browser then you will see its landing page:

Try to POST to http://localhost:5000/predict

POST    /predict

JSON Body request: 
    {
        "medinc" : [number],
        "houseage" : [number],
        "averooms" : [number],
        "avebedrms" : [number],
        "population" : [number],
        "aveoccup" : [number],
        "latitude" : [number],
        "longitude" : [number],
    }

Back to http://localhost:5000/ then you will be redirected to its prediction page form, where you can try to predict a profile. Insert medinc, houseage, averooms, avebedrms, population, aveoccup, latitude & longitude then click Predict button. The result will be shown on http://localhost:5000/predictform:
Done! 👍 Enjoy your code 😎

Lintang Wisesa 💌 lintangwisesa@ymail.com