M. Thamarai

Work place: Sri Vasavi Engineering College, Andhra Pradesh, India

E-mail: thamarai.muthusamy@srivasaviengg.ac.in


Research Interests: Computational Learning Theory, Image Compression, Image Manipulation, Image Processing, Data Structures and Algorithms, Analysis of Algorithms, Models of Computation


Dr.M.Thamarai received the Ph.D. degree in Digital Image processing from Anna University Chennai in 2014. Currently she is working as a professor in ECE department at Sri Vasavi Engineering College, Andhra Pradesh since 2018. She has participated and published papers in many National and Internal Conferences and also published 15 papers in National and International journals. Her research interests are Digital image processing, Video coding, Machine Learning and VLSI implementation of Image processing algorithms.

Author Articles
House Price Prediction Modeling Using Machine Learning

By M. Thamarai SP. Malarvizhi

DOI: https://doi.org/10.5815/ijieeb.2020.02.03, Pub. Date: 8 Apr. 2020

Machine Learning is seeing its growth more rapidly in this decade. Many applications and algorithms evolve in Machine Learning day to day. One such application found in journals is house price prediction. House prices are increasing every year which has necessitated the modeling of house price prediction. These models constructed, help the customers to purchase a house suitable for their need. Proposed work makes use of the attributes or features of the houses such as number of bedrooms available in the house, age of the house, travelling facility from the location, school facility available nearby the houses and Shopping malls available nearby the house location. House availability based on desired features of the house and house price prediction are modeled in the proposed work and the model is constructed for a small town in West Godavari district of Andhrapradesh. The work involves decision tree classification, decision tree regression and multiple linear regression and is implemented using Scikit-Learn Machine Learning Tool.

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