PREDICTIVE ANALYTICS USING MACHINE LEARNING TECHNIQUES IN REAL TIME APPLICATIONS

PREDICTIVE ANALYTICS USING MACHINE LEARNING TECHNIQUES IN REAL TIME APPLICATIONS

S Habeeb Mohamed Sathak Amina

Assistant Professor, Department of Computer Science

Thassim Beevi Abdul Kader College For Women, Kilakarai

ABSTRACT

The developments in the field of artificial intelligence and machine learning have changed the world of computation where intelligent computation techniques and algorithms are introduced. Machine Learning models have a very well track record of being used as predictive models. Predictive analytics is the branch of advanced analytics, mainly used in statistical and analytics techniques to make predictions about future outcomes. It uses many techniques from data mining, statistics, modeling, and machine learning to analyze present and past data to make future predictions. Machine Learning has grown rapidly in the context of data analysis and computing which allows the applications to function intelligently. It is the subset of Artificial Intelligence. Machine Learning and predictive analytics is the key to effectively performing data analytics. Machine Learning can learn from past data sets, while predictive analytics focus is on forecasting specific target variables. This paper mainly focuses on Predictive analytics using machine learning in different real-time applications such as Medical, Banking, Security, etc., to predict future outcomes effectively.

Keywords: Predictive Analytics, Predictive Models, Machine Learning, Supervised Learning