Comments on: Predicting Employee Attrition: R vs DMWay

By: Having Trouble with Employee Turnover? People Analytics Can Help Your HR – and Business

Mon, 27 Jan 2020 08:36:41 +0000

[…] Anybody who has been in this situation knows that employees who leave do not only take significant value with them, but that finding a new worker requires a great deal of resources. So how can you prevent employee attrition? […]

By: Littal Shemer Haim

Littal Shemer Haim — Thu, 16 Nov 2017 17:44:36 +0000

If you’re interested in using Machine Learning for employee turnover prediction and explanation, and R applications in business, check out this 30 minute presentation from EARL Boston 2017: http://www.business-science.io/presentations/2017/11/06/earl-boston-2017.html (Page includes link to code).

By: Littal Shemer Haim

Littal Shemer Haim — Tue, 03 Oct 2017 13:25:41 +0000

Here is another demo of churn prediction (An example in the domain of customer relationship management, which can be easily converted to the field of the workforce), by mljar.com service and its R API. With just a few lines of code, it enables very good results. This tool frees the user from thinking about model selection. It uses various machine learning algorithms and compares their performance.

By: Littal Shemer Haim

Littal Shemer Haim — Fri, 15 Sep 2017 15:59:33 +0000

“The data science language R is a convenient tool for performing HR churn prediction analysis. A lightweight data science accelerator that demonstrates the process of predicting employee attrition is shared…” here: http://blog.revolutionanalytics.com/2017/03/employee-retention.html

By: Liat

Liat — Wed, 01 Mar 2017 16:22:03 +0000

מעניין מאד. סקירה מקצועית ורלוונטית לנו, אנשי משאבי אנוש