This paper is published in Volume-5, Issue-4, 2019
Area
Computer Science
Author
Parth Ambalkar
Co-authors
Akash Mane, Tanmay Maity
Org/Univ
Bharatiya Vidya Bhavan's Sardar Patel Institute of Technology, Mumbai, Maharashtra, India
Pub. Date
16 August, 2019
Paper ID
V5I4-1321
Publisher
Keywords
Prediction, House price

Citationsacebook

IEEE
Parth Ambalkar, Akash Mane, Tanmay Maity. House price prediction using various machine learning algorithms, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Parth Ambalkar, Akash Mane, Tanmay Maity (2019). House price prediction using various machine learning algorithms. International Journal of Advance Research, Ideas and Innovations in Technology, 5(4) www.IJARIIT.com.

MLA
Parth Ambalkar, Akash Mane, Tanmay Maity. "House price prediction using various machine learning algorithms." International Journal of Advance Research, Ideas and Innovations in Technology 5.4 (2019). www.IJARIIT.com.

Abstract

House price increases gradually, that is why there is a need to create such a system for prediction of house prices. This prediction will help developers knowing the selling price of a house. It will also assist customers to know about which is the perfect time to buy a flat. In this paper, we are going to predict the selling price of various houses. Selling prices are determined by various factors such as the location of the house, area of the property, the inflation rate of the current year, Apartment type, month and year of which we want to know the particular price. We are implementing various machine learning algorithms for building a predictive model for houses. We have considered housing data of 2000 properties. In this paper, We will be comparing the algorithms on the basis of parameters such as MAE, RMSE, MSE, accuracy.
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