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  Published Paper Details:

  Paper Title

CHURN PREDICTION IN TELECOM INDUSTRY

  Authors

  Yashraj Bharambe,  Pranav Karanjawane,  Pranav Deshmukh,  Diptesh Chaudhari

  Keywords

Customer churn, Big Data, Machine Learning, KNN, Logistic Regression

  Abstract


Customers are the base for any business success and that is why firms become aware of the significance of acquiring satisfaction of customers. Customer churn is an essential issue and it is regarded as one of the most essential concerns among firms because of increasing rivalry among firms, increased significance of marketing strategies and customers conscious behaviour in present years. Organizations must develop different strategies to resolve the churn issues relying on the service they offer. Customer churn practise is essential in competitive and rapidly developing telecom sector. The process of migrating from one service provider to another telecom services provider occurs due to good services or rates or due to various advantages which the rivalry firm provides customers when signing up, Due to the greater cost related with acquiring new customers the prediction of customer churn has developed as an indispensable part of planning process and strategic decision making in telecom sector.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2207554

  Paper ID - 223801

  Page Number(s) - e191-e194

  Pubished in - Volume 10 | Issue 7 | July 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Yashraj Bharambe,  Pranav Karanjawane,  Pranav Deshmukh,  Diptesh Chaudhari,   "CHURN PREDICTION IN TELECOM INDUSTRY", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 7, pp.e191-e194, July 2022, Available at :http://www.ijcrt.org/papers/IJCRT2207554.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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