Predictive Analysis Implementation in Real life Scenarios

Abstract

This paper presents applications of Predictive Analysis Model which can be used to compute various data sets and train them to obtain outcomes for future events. This model incorporates both supervised and unsupervised machine learning techniques. These research uses item-based collaborative filtering, multiple linear regression and time series model. Using Predictive Analysis, we can evaluate the historic data sets to predict the outcomes of multiple scenarios. Both continuous and discontinuous changes are accounted in our predictive analysis model. To provide better interactions with the user this model is integrated with Django Web Framework.