MumbaiHousingProject

Mumbai has Beautiful sceneries during Nights.

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Here I used Mumbai Housing dataset which has the following features:

Price, Area, Location, No. of Bedrooms, New/Resale, Gymnasium, Lift, Available, Car Parking, Maintenance, Staff, 24x7 Security, Children, Clubhouse, Intercom, Landscaped Gardens, Indoor Games, Gas Connection, Jogging Track, Swimming Pool.

Here I used Decision Tree Regreesor to build the model

I built the model to predict any house price in mumbai using the following features:

Area,No. of Bedrooms,Location.

Here I'm going to use Price as the target feature

Here in this Project I've used the following Tools for building my model and tried to host in Internet

• Python
• Numpy and Pandas for data cleaning
• Matplotlib for data visualization
• Sklearn for model building
• Jupyter notebook, Web Storm and Data Spell as IDE
• Python flask for http server
• HTML/CSS/Javascript for UI

Now in order to run the model first you need to download the following files:

• utils.py
• server.py and run them in any python ide which generates the following server : http://127.0.0.1:5000

Now run the app.html file I provided to show the following UI will be shown: