https://github.com/gakas14/absenteeism

We develop a model that will predict the probability of an individual being excessively absent from work. Then we used Tableau to analyze three separate dependencies between the inputs of our model.
https://github.com/gakas14/absenteeism

logistic-regression tableau

Last synced: 8 days ago
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We develop a model that will predict the probability of an individual being excessively absent from work. Then we used Tableau to analyze three separate dependencies between the inputs of our model.

• Host: GitHub
• URL: https://github.com/gakas14/absenteeism
• Owner: gakas14
• Created: 2021-04-17T06:01:30.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2021-04-17T06:21:05.000Z (over 3 years ago)
• Last Synced: 2023-11-28T06:30:04.853Z (12 months ago)
• Topics: logistic-regression, tableau
• Language: Jupyter Notebook
• Homepage:
• Size: 229 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Absenteeism

First, we preprocess the data.Then we used a logistic regression model to develop a model that will predict the probability of an individual being excessively absent from work.

Finally, we used Tableau to analyse three separate dependencies between the inputs of our model.