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Mitigating Attrition: Data-Driven Approach Using Machine Learning and Data Engineering

Mitigating Attrition: Data-Driven Approach Using Machine Learning and Data Engineering

International Journal For Multidisciplinary Research (JMR), 2019
25 February 2025
Naveen Edapurath Vijayan
ArXiv (abs)PDFHTMLGithub

Papers citing "Mitigating Attrition: Data-Driven Approach Using Machine Learning and Data Engineering"

3 / 3 papers shown
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
5.2K
32,979
0
22 May 2017
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
1.7K
52,129
0
09 Mar 2016
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling TechniqueJournal of Artificial Intelligence Research (JAIR), 2002
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
2.2K
29,927
0
09 Jun 2011
1
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