House Price Forecasting Using Machine Learning

Abstract

The real estate market is one of the world's most price-sensitive, and it is always changing. It's one of the most critical fields where computer technology can be used. exactitude in learning how to improve and predict costs in high-risk situations The aim of the paper is to make a future prediction. This system is helps in finding the starting price of a property based on geographical factors Through analysing past data patterns and price ranges in the industry, as well as future developments, The potential costs will be calculated. The scope of this investigation is as follows: You can forecast house prices in Mumbai using a decision tree.