Real Estate Price Prediction
Keywords:
Data science, Analysis, Price, Estimation, BangaloreAbstract
Analysing various fields, associate numbers, events became the need of time and most important step to do anything and hence data science became an important part in every field. Using the concept of data science, the project of Real Estate Price Prediction is built. The motive of creating a project on Real Estate Price Prediction was just to implement the concepts of data science and python language that is used in analysing for designing an application. This was done to get better understanding of the skills that are needed in python language, analysis using data science. The project focuses on the different features and algorithm available in python and data science. In this project various library of python is used to design an attractive, effective, and beautiful project. The project will introduce a Real Estate price estimation system that done estimate based on various mathematical algorithms and tricks and then gives best possible result.So basically, what this application does is identify the need of user in any specific area in Bangalore.
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References
Aaron Ng, 2015, Machine Learning for a London Housing Price Prediction Mobile Application [2] https://www.dataquest.io/blog/what-is-data-science/ [3] Manny Bernabe, expertise in research and deployment of quantitative strategies in exchange traded funds (ETFs).
https://insidebigdata.com/2017/07/27/defining-data science-landscape/
Vishal Raman, May 2014. Identifying Customer Interest in Real Estate Using Data Mining.
http://www.99acres.com/property-rates-and pricetrendsin-banglore
Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining, 2015. Introduction to Linear Regression Analysis
Gongzhu Hu, Jinping Wang, and WenyingFengMultivariate Regression Modelling for Home Value Estimates with Evaluation using Maximum Information Coefficient
Iain Pardoe, 2008, Modelling Home Prices Using Realtor Data