Data Analysis of eBurnout project
-
Updated
Jul 22, 2018 - Jupyter Notebook
Data Analysis of eBurnout project
🏭👩💻Project for university applying machine learning concepts to predict employee burnout.
Burnout, engagement and job satisfaction data
Predicting employee burnout using machine learning algorithms: Random Forest and k-Nearest Neighbors.
Supplementary materials of the article "The daily costs of workaholism: A within-individual investigation on blood pressure, emotional exhaustion, and sleep disturbances"
Burnout Questionnaire 🔥 based on Maslach Burnout Inventory (MBI) to measure professional and job burnout.
Burnout test based on the Copenhagen Burnout Inventory (CBI), offering Korean, Greek, Serbian, Malaysian, and original versions
Using a combination of multiple facets of Health, Engagement and Productivity to estimate occupational burnout
Welcome to UnbreakableMe, a platform born out of the unwavering determination inspired by David Goggins' life and his book, "Can't Hurt Me: Master Your Mind and Defy the Odds." I believe that every individual possesses the strength to overcome their darkest moments and rise above the challenges life presents.
A layman's collection of resources on recovering from burnout (Chronic fatigue syndrome, ME)
Burnout isn't awesome. Here are resources to help you recognise, reduce, and prevent burnout. I have 8 years' experience in tech but hopefully this will be relevant to many other industries.
A Scraper that scrapes '#burnout' tweets daily powered by GitHub action and snscrape (stopped at June 30,2023)
This is a waybar toy aims to detect your activity and invite you to take a break.
A totally lame Burnout 3 clone which doesn't work at all.
Add a description, image, and links to the burnout topic page so that developers can more easily learn about it.
To associate your repository with the burnout topic, visit your repo's landing page and select "manage topics."