pkhiyara / Reducing-Staff-Attrition-ML

An R project that analyzes a company's employee data through a logistic regression and decision tree machine learning model in order to investigate the primary factors, along with their patterns, that impact and lead to high staff attrition rates and help develop actionable insights and comprehensive strategies to significantly reduce attrition.

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Reducing Staff Attrition

An R project that analyzes a company's employee data through a logistic regression and decision tree machine learning model in order to investigate the primary factors, along with their patterns, that impact and lead to high staff attrition rates and help develop actionable insights and comprehensive strategies to significantly reduce attrition.

Results

Statistically Significant Predictors of Staff Attrition Decision Tree Visualization

About

An R project that analyzes a company's employee data through a logistic regression and decision tree machine learning model in order to investigate the primary factors, along with their patterns, that impact and lead to high staff attrition rates and help develop actionable insights and comprehensive strategies to significantly reduce attrition.

License:MIT License


Languages

Language:R 100.0%