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
- Abhishek Raj (ORCID: https://orcid.org/0000-0002-7768-6499)
- Anurag Kumar (ORCID: https://orcid.org/0000-0002-1164-144X)
- Kalyani Singh
- Aryan Shakya
Institutions
- Galgotias University (IN)
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