PREDICTION OF HOUSE PRICING USING MACHINE LEARNING WITH PYTHON
Jadhav Vaibhav B.
, Pathak Mandar N. , Shahare Vivek M.
Machine getting to know, Regression Technique, Classification Technique, Cross validation Technique, K-manner.
This paper offers a top level view about a way to predict house charges using one of a kind regression techniques with the help of python libraries. The proposed approach considered the more subtle aspects used for the calculation of residence fee and offer the greater accurate prediction. It also gives a brief approximately various graphical and numerical techniques with the intention to be required to are expecting the price of a residence. This paper includes what and how the residence pricing model works with the help of machine getting to know and which dataset is used in our proposed version.
"PREDICTION OF HOUSE PRICING USING MACHINE LEARNING WITH PYTHON", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 5, page no.146 - 149, May-2022, Available :https://ijsdr.org/papers/IJSDR2205028.pdf
Volume 7
Issue 5,
May-2022
Pages : 146 - 149
Paper Reg. ID: IJSDR_200377
Published Paper Id: IJSDR2205028
Downloads: 000347270
Research Area: Engineering
Country: -, -, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
