House Price Forecasting Using Machine Learning.
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| Title: | House Price Forecasting Using Machine Learning. |
|---|---|
| Authors: | Goyal, Aman1, Kumar, Utkarsh1 |
| Source: | Turkish Online Journal of Qualitative Inquiry. 2021, Vol. 12 Issue 6, p9944-9948. 5p. |
| Subject Terms: | Home prices, Decision trees, Computer engineering, Real property sales & prices |
| Geographic Terms: | Mumbai (India) |
| Abstract: | The real estate market is one of the world's most price-sensitive, and it is always changing. It's one of the most critical fields where computer technology can be used. exactitude in learning how to improve and predict costs in high-risk situations The aim of the paper is to make a future prediction. This system is helps in finding the starting price of a property based on geographical factors Through analysing past data patterns and price ranges in the industry, as well as future developments, The potential costs will be calculated. The scope of this investigation is as follows: You can forecast house prices in Mumbai using a decision tree. [ABSTRACT FROM AUTHOR] |
| Copyright of Turkish Online Journal of Qualitative Inquiry is the property of Turkish Online Journal of Qualitative Inquiry and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
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