HOUSE PRICE PREDICTION ( ML & WEBAPP )

  SGP WEEKLY REPORT PROJECT NAME : BENGALURU HOUSE PRICE PREDICTION GUIDED BY :  MS. REKHA KARANGIYA PROJECT BY : RAHUL BHAVSAR (D20IT155) VAGH SURESH (D20IT154) PURPOSE OF THIS PROJECT Our project is a Machine learning model/app, which will guess the accurate price of your future house on the basis of some certain specification of your future house. Predicting house prices is expected to help people who plan to buy a  house so they can know the price range in the future, then they can plan their finances well. In addition, house price predictions are also beneficial for property investors to know the trend of housing prices in a certain location. So we want to create one ml model that can be used to predict the price of this house. It gives 90% right prediction but accurate prediction about the price of the house because we train that model with all the previous year data which predict the approx but accurate price of that house using this ML model. COLLECTING THE DATA The first step i

The Problem Definition     The problem we are going to solve in this project is the house price prediction problem. Based on certain features of the house, such as the location, area in square feet, number of bedrooms, number of bathrooms, we have to predict the estimated price of the house. Purpose of this Model & Website Our project is a Machine learning model/app, which will guess the accurate price of your future house on basis of the some certain specification of your future house. Prediction house prices are expected to help people who plan to buy a  house so they can know the price range in the future, then they can plan their finance well. In addition, house price predictions are also beneficial for property investors to know the trend of housing prices in a certain location. In real estate, so many real-estate companies are hiring some experts to predict the price of a House and suggest that the company invest in that house but sometimes they are not 100% correct. Sometimes