Rent Price Prediction Using No Broker Scraped Data
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The purpose of this analysis is to build a prediction model and web app to predict the Rent price for different cities.
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The dataset contains 11,143 property details from 10 different Cities scrapped from the No-Broker Website using Beautiful Soup and Selenium.
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Machine Learning Algorithms used to do the prediction Random Forest Regressor, Linear Regression, and K-Neighbors Regressor.
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Know Your Rent is a Machine Learning Web App, Built with Flask.
| Model | Score | RMSE |
|---|---|---|
| Linear Regression | 67% | 24 |
| KNN Regressor | 58% | 27 |
| Random Forest Classifier | 70% | 23 |
| XG Booster Regressor | 67% | 24 |