A SMART DEVELOPMENT OF PREDICTION ANALYSIS-BASED DATA SCIENCE MODEL BY USING DEEP LEARNING APPROACH

Abstract
The field of data analysis is one of the fastest growing fields. All large and small companies are now prioritizing the field of data analysis. It is possible to advance those industries using data analysis widely across all industries like Medicine, Agriculture, Architecture, Stock Market, Marketing, and many more. There are very few professionals in the market due to lack of sufficient knowledge about data science among the technicians. So as the company demand is high and the number of data analysts is low there are more opportunities for easy availability of jobs in this field. Data science is the study of the information we have. Usually the data contain useful and useless information. The field of data science involves the efficient extraction of useful information, recording, storing and analyzing data. In this paper, a smart model was proposed to enhance the data science model. The proposed model one step further and build useful data management-based on the analysis. This can keep track of the events that happened and predict what will happen next.

Authors
R. Vilasini1,M. Sutharsan2
Muthayammal Engineering College, India1,2

Keywords
Prioritizing, Data Analysis, Sufficient Knowledge, Data Science,Information
Published By :
ICTACT
Published In :
ICTACT Journal on Data Science and Machine Learning
( Volume: 3 , Issue: 3 )
Date of Publication :
June 2022

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