• Devinder Singh
• Neha Asthana

Abstract : Presently lot of work is being carried out on applications of Machine Learning , although solutions for predictions of Housing costs have been provided but most of these are based on some available proven data. In this paper we have collected basic data and also analyzed data and selected only those parameters which are relevant , created additional parameters data based on the available data ( this is one of the major reasons for obtaining higher accuracy ). The complete study involves , collecting data relating to housing cost , analyzing data , selecting related parameters effecting the cost. creating additional parameters , study of various machine learning models and selecting best Machine Learning Model for the required application . The data set is than applied to selected Machine Learning Model and we form an equation through which cost can be predicted based on given parameters . The equation has been finally tested for accuracy. The paper covers ,studies carried for Lokhandwala , which is a small township in Kandivali East, Mumbai India, using samples collected through an online survey from the residents of the locality, and some local sources .

Machine learning, Python, Artificial Intelligence ,Housing, Prediction

"Data Analysis & Estimating Housing cost applying Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.50-59, June 2019, Available :http://www.jetir.org/papers/JETIR1907J10.pdf

"Data Analysis & Estimating Housing cost applying Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp50-59, June 2019, Available at : http://www.jetir.org/papers/JETIR1907J10.pdf