December 2021 Issue Vol.11 No.12
S. Banumathi1 , A. Aloysius2
1Assistant Professor, Department of Computer Application, Bishop Heber College, Trichy, Tamil Nadu, India.
2Assistant Professor, Department of Computer Science, St. Joseph’s College, Trichy, Tamil Nadu, India.
Abstract: Big Data analytics is the technique of collecting, organizing and analyzing large sets of information to determine patterns and other uses in sequence. Big Data analytics can assist organizations to better understand the information contained in the data and will also help to identify the data that is most important to the trade and future dealing decisions. Predictive analytics does not inform what will happen in the future but it estimates what might happen in the future with an acceptable level of consistency, and includes imagine scenarios and risk consideration. This research article discussed types of regression algorithms: linear regression, logistic regression, and polynomial regression with statistical analysis process for estimating the relationships among variables.
Keywords: Predictive Analytics, Big data, Regression, Prediction Models, Supervised Learning