tanmaywintr / pune_rent_prediction.github.io

END TO END PUNE RENT PREDICTION PROJECT

Built a model using linear regression and sklearn, and a dataset of Pune house rentals.
The model predicts the rent of a given location in pune with an accuracy of 87%.
Tools used for the model are :
1.Python
2.pandas and numpy for data cleaning
3.sklearn for model building
4.vs code and google colab as IDE
Wrote a python flask server that uses this rent prediction model to serve the http requests.
Built a website using html,css and JavaScript that allows the users to enter sq ft area and other parameters which calls the flask server to retrieve the predicted rent price.

https://pytutorial.com/notfound https://github.com/TanmayWINTR/Pune_Rent_Prediction.github.io/blob/Readme.md