UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 4
April-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRER06057


Registration ID:
308573

Page Number

243-246

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Title

SCRUTINIZATION OF MOVIE SUCCESS USING MACHINE LEARNING TECHNIQUE

Abstract

The classical factors include producer, production house, director, cast, runtime of the movie, the genre, the script, time of release etc.,. All these factors play a very vital role in determining whether a film will be successful.Polynomial regression means plotting up a graph and it shows the relationship between dependent variable y and independent variables x. This project helps to analyse the success of the film using the machine learning algorithm. Data Science paves a way to extract useful information and to gain insight on it.

Key Words

Machine Learning , Data Science, Polynomial Regression, Ratings, Predictive analysis

Cite This Article

"SCRUTINIZATION OF MOVIE SUCCESS USING MACHINE LEARNING TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.243-246, April-2021, Available :http://www.jetir.org/papers/JETIRER06057.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"SCRUTINIZATION OF MOVIE SUCCESS USING MACHINE LEARNING TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp243-246, April-2021, Available at : http://www.jetir.org/papers/JETIRER06057.pdf

Publication Details

Published Paper ID: JETIRER06057
Registration ID: 308573
Published In: Volume 8 | Issue 4 | Year April-2021
DOI (Digital Object Identifier):
Page No: 243-246
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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