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sayantikabanik / capstone_isb

Using a combination of multiple facets of Health, Engagement and Productivity to estimate occupational burnout
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Findings #4

Closed sayantikabanik closed 2 years ago

AnizD commented 2 years ago

https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-017-4153-7

https://www.researchgate.net/publication/348434829_Using_Machine_Learning_in_Burnout_Prediction_A_Survey

https://www.erudit.ai/

https://www.verypossible.com/experience/predictive-analytics

https://www.academia.edu/61501443/Developing_a_Machine_Learning_Model_for_Detecting_Job_Burnout_During_the_COVID_19_Pandemic_Among_Front_line_Workers_in_Kuwait

https://nasere4567.medium.com/3rd-placesolution-predict-the-employee-burn-out-rate-by-hackerearth-2816dbf32289

https://www.analyticsvidhya.com/blog/2021/10/introduction-to-the-lifecycle-of-data-science-project/

sahithi02 commented 2 years ago

https://www.kaggle.com/code/gcdatkin/employee-burnout-prediction/notebook https://www.frontiersin.org/articles/10.3389/fdata.2022.863100/full file:///Users/sahithi/Downloads/socsci-09-00030.pdf https://github.com/AMMLRepos/predict-mental-burnout-of-employeesu/blob/main/Analyzing_and_predicting_employee_burnout_during_pandemic.ipynb https://www.youtube.com/watch?v=5ZX68OL2Ngw https://medium.com/artefact-engineering-and-data-science/customer-reviews-use-nlp-to-gain-insights-from-your-data-4629519b518e

sahithi02 commented 2 years ago

https://www.frontiersin.org/articles/10.3389/fdata.2022.863100/full https://analyticsindiamag.com/a-guide-to-surprise-python-tool-for-recommender-systems/