California House Pricing 🏠

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

1. 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

2. 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],
       }

3. 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:

   

4. Done! 👍 Enjoy your code 😎

Lintang Wisesa 💌 lintangwisesa@ymail.com

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