ISSN No:2250-3676
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Scholarly Peer Reviewed and Fully Referred Open Access Multidisciplinary Monthly Research Journal


    Predicting The Costumer Churn Prediction In Telecom Sector Using Various Machine Learning Techniques

    B.Mayuka Reddy ,Pranavi Nyalapatlawar ,M.Pravalika, K.Joseph Thanusha

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    ID: 32

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    Abstract :

    Published:

    22-4-2023

    Issue:

    Vol. 23 No. 4 (2023)


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    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

    How to Cite

    B.Mayuka Reddy ,Pranavi Nyalapatlawar ,M.Pravalika, K.Joseph Thanusha, Predicting the Costumer Churn Prediction in Telecom Sector Using Various Machine Learning Techniques , 2023, International Journal of Engineering Sciences and Advanced Technology, 23(4), Page , ISSN No: 2250-3676.

    DOI: