HOUSE PRICE PREDICTION AND RECOMMENDATION

HOUSE PRICE PREDICTION AND RECOMMENDATION

1. Mayur Gawade 2. Aniket Patel , 3.Shantanu Barhanpurkar, 4.Onkar Deshmukh

Department of Computer Engineering, Zeal College of Engineering and Research, Pune mayurgawade2808@gmail.com, aniketyogitapatel@gmail.com, shantanu06022001@gmail.com,

deshmukhonkar29@gmail.com

Guide name: Prof. Poonam Patekare , Department of Computer Engineering, Zeal College of Engineering and Research, Pune

poonam.patekar@zealeducation.com

Abstract:- Determining how much a house will sell for in a city is still a challenging and time-consuming task. This article's goal is to make predictions about the coherence of non-housing prices. A crucial method to ease the challenging design is to use machine learning, which can intelligently optimize the best pipeline fit for a task or dataset. For individuals who will be residing in a home for an extended period of time but not permanently, it is essential to predict the selling price. Real estate forecasting is a crucial part of the industry. From historical real estate market data, the literature seeks to extract pertinent information. Land price bubbles grow as a result of real estate prices, which leads to macroeconomic instability. The government should look into the variables that drive up real estate prices so that it can use them as a guide to assist stabilize the area. There are many economic circumstances that are in play at the time also have an impact on the selling price of a home.

KEYWORDS- House Price Prediction and Recommendation, Machine Learning Model, Light Gradient Boosting Machine, Random Forest Regression.