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

ICTACT Journal on Data Science and Machine Learning ( Volume: 3 , Issue: 3 )

Abstract

vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff528f2c000000c216060001000400
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
Pages
327-331
DOI

ICT Academy is an initiative of the Government of India in collaboration with the state Governments and Industries. ICT Academy is a not-for-profit society, the first of its kind pioneer venture under the Public-Private-Partnership (PPP) model

Contact Us

ICT Academy
Module No E6 -03, 6th floor Block - E
IIT Madras Research Park
Kanagam Road, Taramani,
Chennai 600 113,
Tamil Nadu, India

For Journal Subscription: journalsales@ictacademy.in

For further Queries and Assistance, write to us at: ictacademy.journal@ictacademy.in