Employee churn impacts your bottom line, team morale and company image. We will never live in a world with a 100% efficient and productive workforce and people will always leave a company at some point, but we can aspire to get closer to 100% by constantly looking at ways of reducing turnover and absenteeism.
In this video series, Data Scientist Thomas Stainer explains how Survival Analysis can help you understanding churn and offer crucial insights into the why.
Part 1: Introduction
Introducing the concept of Survival Analysis and how it can help you understand churn.
Part 2: Censoring
Censoring is an important feature in Survival Analysis that helps you take into account missing data.
Although the fundamental concepts of Machine Learning have been around for quite a while, most people are only now beginning to become acquainted with the technology. Therefore, blindly trusting the prediction that came out of a black box model might still sound quite daunting to most.
In this video series, Data Scientist Wout Goossens opens up the black box by introducing the concept of Model Explainability.
Part 1: Introduction
What is Model Explainability and how can it give you more insight into Machine Learning predictions?