Machine Learning Meets HR: Predicting Employee Attrition with PyCaretby@inquiringnomad
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1,168 reads

Machine Learning Meets HR: Predicting Employee Attrition with PyCaret

by Akis Loumpourdis11mAugust 17th, 2021
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Machine Learning (ML) can be used to help organizations produce more or, more accurately, produce efficiently. The PyCaret library is a Python version of the Python package for R, R-learn, scikit-learn and many others. It is inspired by the emerging role of citizen data scientists in the role of data scientists. In this story, I will focus on job attrition and will demonstrate how we can use ML to help analyze the data and make predictions. An interesting case study is Unilever. They switched to a more data-driven hiring model, with the help of HireVue.

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Akis Loumpourdis

Akis Loumpourdis

@inquiringnomad

Inquiring Nomad. Reluctant geek.

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Akis Loumpourdis@inquiringnomad
Inquiring Nomad. Reluctant geek.

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