House Price Prediction Using ML

With the use of several Python modules, this project gives us a general idea of how to forecast home prices using several machine learning models. This suggested model offers the most accurate prediction and is thought to be the most accurate model for determining home prices. This gives a quick overview that is necessary to forecast the cost of a home. Using the datasets we will utilize in our proposed model, this study aims to explain what and how the house pricing model functions with the aid of machine learning techniques. Finding the right moment to purchase a property and figuring out The purchase price of a house in a certain area is helped by a price forecast.The objective of this machine learning task on house price prediction is to develop a machine learning model based on data in order to forecast house.

Authors

Institutions

Publication Details

Published
2024-11-28
DOI
https://doi.org/10.1109/icspe62629.2024.10924379
Primary Topic
Housing Market and Economics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

House Price Prediction Using ML

Abhishek Raj, Anurag Kumar, Kalyani Singh, Aryan Shakya
Housing Market and Economics
article

House Price Prediction Using ML

Abhishek Raj, Anurag Kumar, Kalyani Singh, Aryan Shakya
article en

Abstract

With the use of several Python modules, this project gives us a general idea of how to forecast home prices using several machine learning models. This suggested model offers the most accurate prediction and is thought to be the most accurate model for determining home prices. This gives a quick overview that is necessary to forecast the cost of a home. Using the datasets we will utilize in our proposed model, this study aims to explain what and how the house pricing model functions with the aid of machine learning techniques. Finding the right moment to purchase a property and figuring out The purchase price of a house in a certain area is helped by a price forecast.The objective of this machine learning task on house price prediction is to develop a machine learning model based on data in order to forecast house.

Galgotias University (IN)
Openalex Percentile: Top 67%
Housing Market and Economics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.