This Data Science project leverages Linear Regression to predict rental house prices in Bangalore, creating a valuable tool for understanding of data analysis, outlier detection, and predictive modeling. Combining Data Science techniques with web development to create a user-friendly resource and demonstrating a comprehensive approach.

This project employs linear regression to predict property prices based on key features. Through thorough data cleaning, preprocessing, and feature engineering, the model is fine-tuned for accuracy. With insights from exploratory data analysis, the model offers reliable estimates, aiding stakeholders in informed decision-making.

Bangalore Home Price Prediction uses machine learning models to predict housing prices based on features like location, size, and number of bedrooms. The project includes data preprocessing, exploratory analysis, and model building with algorithms such as Linear Regression to achieve high accuracy.