Prediction of House Pricing Using Machine Learning With Python
Author(s):
Satya Mohan Chowdary G, A. Jaswanthi, P. Jaya Sri, S. Rajendranadh, N. Snehith
Keywords:
Abstract
House prices are increasing every year which has necessitated the modeling of house price prediction. This project provides an overview about how to predict house costs utilizing different regression methods with the assistance of python libraries. The proposed technique considered the more refined aspects used for the calculation of house price and provided the more accurate prediction. It also provides a brief about various graphical and numerical techniques which will be required to predict the price of a house. This project contains what and how the house pricing model works with the help of machine learning and which dataset is used in our proposed model.
Article Details
Unique Paper ID: 152722

Publication Volume & Issue: Volume 8, Issue 4

Page(s): 189 - 192
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