🏠 Predicting house prices in Bangalore. Includes data preprocessing, training, and provide accurate pricing predictions based on various input features.

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.

Real Estate Price Prediction based on Bangalore Dataset

В данном проекте подготавливаем датасет для построения ML модели, предсказывающую стоимость недвижимости

Real Estate Price Prediction Using Machine Learning Project with Code and Datatsets

A multi-variate linear regression model that predicts real estate prices.

Worked on Real Estate Price data analysis by scraping website from www.99acres.com to help the housing domain as well as estimate the sale value of various houses and open plots.

We have dataset of house prices with some features like no. of bathrooms, no. of bedrooms, etc. Our main task is to create a model which will predict the price of any house by looking at the features.

Real estate price prediction

valuation of real estate

Prediction of Real Estate price using multiple features : Advanced Python