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Using machine learning to determine corporate burnout on a Kaggle dataset.

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Corporate Burnout

Description

The purpose of this project is to analyze a Kaggle data set and to create a predictive burnout model.

Data

The Kaggle data provided by Paras Varshney.

EDA

A pandas-profiling report is available.

Primary Code With Mental Fatigue Score

The python code is available as a Jupyter notebook.

If you have trouble with GitHub rendering the file, please try here.

Secondary Code Without Mental Fatigue Score

The python code is available as a Jupyter notebook.

If you have trouble with GitHub rendering the file, please try here.

Documentation

Executive Report

Presentation

Executive Presentation

Instructions

To run this notebook locally, install Jupyter, download the data set, change the file location to load the code and data, and install all the library dependencies.

Try Anaconda.

Model Folders

Tools

  • Python
  • Jupyter Notebook
  • Pandas-profiling
  • Scikit-learn
  • Pycaret
  • Tableau
  • MS PowerPoint

Credits

News image by Howling Red at Unsplash

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Using machine learning to determine corporate burnout on a Kaggle dataset.

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