使用多元线性回归的房价预测-研究论文
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2021-05-20
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House Price Prediction Using Multiple Linear
Regression
Anirudh Kaushal, Achyut Shankar
Department of Computer Science and Engineering, Amity School of Engineering and
Technology, Amity University, Noida, Uttar Pradesh, India
anirudhkushal30@gmail.com, ashankar2711@gmail.com
Abstract. There comes a point in everyone’s life when the person wishes to buy
or sell a house. First consider a scenario where a person needs to buy a house. The
person will look for his/her desired house for a sensible price tag. The person will
have some features decided what he/she wants to have in the house. The person
will be able to decide whether the type of house he/she is looking for is worth of
the price or not.
Similarly, consider a scenario where a person needs to sell a house. By making
use of the house price prediction system, the seller would be able to decide what
all features he/she could add in the house so that the house can be sold for a higher
price. Hence, from both the above scenarios we can confirm that house price
prediction is useful both for the buyer and seller.
This paper will help to predict the house prices based on various parameters. The
users will be able to input the type of house they desire to buy and with the help
of machine learning the house price predictor will display the estimated price of
the desired house.
Keywords: House Price Prediction, Machine Learning, Multiple Linear Regression
1
INTRODUCTION
Usually when people want to buy a house, they look for a house which has a reasonable
cost, and which has all the desired features they want in the house. The house price
prediction will help them to decide whether the house they desire to buy is worth of the
price or not. Similar is the case with people who want to sell the house. By making use
of the house price prediction system, the seller would be able to decide what all features
he/she could add in the house so that the house can be sold for a higher price.
This paper’s objective is predicting house prices on the basis of various parameters.
This will allow the buyer to get an idea of what amount of money he/she has to spend in
order to buy the desired house. It will also allow the seller to get information regarding
what is the house’s real worth and how he/she can maximize the profit gained by selling
the house.
There are many platforms which help the buyers and sellers to predict the price of
the property they are desire and the property they are looking for. Some of them are
MagicBricks and 99acres. They allow the user to enter the locality of the house any-
where in India along with all the other features thus making the house price prediction
system more effective.
Electronic copy available at: https://ssrn.com/abstract=3833734
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