ItemScopus

Effective ML Techniques to Predict Customer Churn

Title
Effective ML Techniques to Predict Customer Churn
Description
Proceedings of the 3rd International Conference on Inventive Research in Computing Applications, ICIRCA 2021 pp.895-902
Creator
De S.; Prabu P.; Paulose J.
Source
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116941177&doi=10.1109%2fICIRCA51532.2021.9544785&partnerID=40&md5=5f6afd4ea9a86a891e926d03a9cae8d3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116941177&doi=10.1109%2fICIRCA51532.2021.9544785&partnerID=40&md5=5f6afd4ea9a86a891e926d03a9cae8d3</a>
Date
2021-01-01

Collection

Conference Papers

Citation

De S.; Prabu P.; Paulose J., “Effective ML Techniques to Predict Customer Churn,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/10816.

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