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HR Analytics: Predicting Employee Churn in Python

Intermediate

Updated 12/2024

In this course you'll learn how to apply machine learning in the HR domain.

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PythonMachine Learning4 hours14 videos44 exercises3,500 XP8,234Statement of Accomplishment

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Course Description

Among all of the business domains, HR is still the least disrupted. However, the latest developments in data collection and analysis tools and technologies allow for data driven decision-making in all dimensions, including HR. This course will provide a solid basis for dealing with employee data and developing a predictive model to analyze employee turnover.

Prerequisites

Intermediate Python

1

Introduction to HR Analytics

Introduction and overview

Finding categorical variables

Observing categoricals

Transforming categorical variables

Encoding categories

Getting dummies

Descriptive statistics

Correlations in the employee data

Percentage of employees who churn

2

Predicting employee turnover

Splitting the data

Separating Target and Features

Spliting employee data

Introduction to Decision Tree classification

Computing Gini index

Splitting the tree

Predicting employee churn using decision trees

Fitting the tree to employee data

Checking the accuracy of prediction

Interpretation of the decision tree

Exporting the tree

Interpretation of results

3

Evaluating the turnover prediction model

Tuning employee turnover classifier

Pruning the tree

Limiting the sample size

Evaluating the model

Interpreting accuracy metrics

Calculating accuracy metrics: precision

Calculating accuracy metrics: recall

Targeting both leavers and stayers

Calculating the ROC/AUC score

Class imbalance

Balancing classes

Comparison of Employee attrition models

4

Choosing the best turnover prediction model

Hyperparameter tuning

Cross-validation using sklearn

Setting up GridSearch parameters

Implementing GridSearch

Important features for predicting attrition

Interpreting importance

Sorting important features

Selecting important features

Develop and test the best model

Final thoughts

HR Analytics: Predicting Employee Churn in Python

Course
Complete

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