Indian Journal of Science and Technology
DOI: 10.17485/ijst/2019/v12i38/145564
Year: 2019, Volume: 12, Issue: 38, Pages: 1-8
Original Article
Palak Mittal1, Mansi Sharma1, Nidhi Garg1 and Dr. Prateek Jain2,*
1Department of Computer Science & Engineering, Manav Rachna International Institute of Research & Studies, Faridabad 121003, India; [email protected], [email protected], [email protected] 2Accendere CL Educate Ltd, New Delhi 110044, India; [email protected]
*Author for correspondence
Dr. Prateek Jain
Accendere CL Educate Ltd, New Delhi 110044, India; [email protected]
Background/objectives: Predictive analysis not only gives us a better insight into customer and user’s likes and dislikes but can also help in improving and increasing revenues, profits and reach. Predictive analysis is something that everyone should be aware of as it can bring many advantages to any field be it social media, e-commerce, IT sector, business, startups etc. In this paper, some techniques are discussed that are used in predictive analytics. Methods/statistical analysis: It is important to explore the new possibilities and opportunities that a huge collection of data can bring us and one of the best ways of doing is to analyze and improve decision-making processes. We have discussed various Regression techniques. Findings: With the increase in technologies and everything shifting towards the online market and the need for analytics increased too. Improvements/applications: In this study importance and need for predictive analysis in various field is discussed.
Keywords: Predictive Analysis, Predictive Models, Machine Learning, Analytics.
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