Abstract:
Machine Learning and Predictive Analysis are the most required tools to uncover and understand huge collection of data. A branch of advanced analytics that predicts the future outcomes of data using different algorithms, data mining and statistical modelling. It is being employed by many organizations and companies to predict patterns in the data and to identify opportunities and risks. It is equally applicable in many domains namely business, medicine and education. Both Machine Learning and Predictive Analysis deal with the problem statement in a completely different manner. Predictive Analysis has a whole new purpose of analyzing the historical data and thus predicting the future outcomes from it. Predictive Analysis can be performed using Deep Learning as well. In this elementary review, we bring out an insight on predictive analysis using Machine Learning algorithms as the former is flexible, newer, and adaptive and also includes larger degrees of freedom in the analytics domain. This paper aims in giving the deeper insights done in this field. Aspects like algorithms and feature selection along with applications are explained. It will give an admonishment to people who want to know and apply predictive analysis in business or academic fields.
