International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 1 January-February 2024 Submit your research before last 3 days of February to publish your research paper in the issue of January-February.

Customer Churn Analysis Using Deep Reinforcement Learning Approach

Author(s) Taiyab Khan, Shakir Ali Idrisi, Dr. Harshali Patil, Dr. Jyotshna Dongradive
Country India
Abstract Customer churn analysis is a critical component of business strategy in industries where retaining customers is essential for profitability and growth. This study aims to investigate the factors influencing customer churn in the telecommunications sector, utilizing a comprehensive dataset of customer interactions and demographics.
Keywords Machine Learning, Churn Rate, Customer Retention, Exploratory Data Analysis, Customer Feedback and Surveys, Churn Prediction Models.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 1, January-February 2024
Published On 2024-01-06
Cite This Customer Churn Analysis Using Deep Reinforcement Learning Approach - Taiyab Khan, Shakir Ali Idrisi, Dr. Harshali Patil, Dr. Jyotshna Dongradive - IJFMR Volume 6, Issue 1, January-February 2024. DOI 10.36948/ijfmr.2024.v06i01.11712
DOI https://doi.org/10.36948/ijfmr.2024.v06i01.11712
Short DOI https://doi.org/gtdr6q

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