International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Machine Learning Approaches for Data analytics and Modeling: A Comprehensive Study

Author : Dr.M.Vinoth Kumar ¹ N. Girish ² S. Babu Kumar ³

Date of Publication :25th May 2018

Abstract: Recently Machine learning is a growing technology in various applications of academia and Industry which includes healthcare, social media, agriculture, economy and finance. It plays an essential role in data mining to handle the huge data generated and maintained by the different machine. Big data analytics has been geared as a driving force to reinvent how machine learning techniques are used for data analytics with high dimensional features in heterogeneous format. This paper presented a comparative study of machine learning techniques for big data analytics and modeling used by data scientist. We apply supervised learning for perfect and imperfect domain knowledge to fulfill the vision of machine learning data analytics and modeling

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