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Analyze the factors that affect employee attrition and then take measures to reduce this rate. Build a machine learning model based on employee factors to predict whether that employee is likely to attrition or not?

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Ans155/Attrition-Prediction-and-Analysis

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Project Description:

Definition: In a work environment, Employee Attrition describes an unanticipated attrition of the workforce. The causes of this decline are all unavoidable reasons such as retirement, resignation, employee loss of work capacity or sudden death. Companies with high workforce attrition rates often face the risk of abusing internal resources.rganization’s goals and strategies.

Purpose: This project selects this topic and dataset for the purpose of :

Discover the factors that affect employee attrition and then take measures to reduce this rate. Build a machine learning model based on employee factors to predict whether that employee is likely to attrition or not?

Prediction Model Accuracy : (ROC AUC Score: 0.9883349840431386)

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Power BI Analytics Dasboard :

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Analyze the factors that affect employee attrition and then take measures to reduce this rate. Build a machine learning model based on employee factors to predict whether that employee is likely to attrition or not?

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