https://github.com/surajv311/predict-employee-turnover-

Used basic data analysis packages like numpy , pandas , matplotlib to do the project after learning the data analysis and prediction concepts in Python.
https://github.com/surajv311/predict-employee-turnover-

Last synced: 5 days ago
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Used basic data analysis packages like numpy , pandas , matplotlib to do the project after learning the data analysis and prediction concepts in Python.

• Host: GitHub
• URL: https://github.com/surajv311/predict-employee-turnover-
• Owner: Surajv311
• Created: 2020-06-10T09:27:41.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-08-13T03:21:38.000Z (about 5 years ago)
• Last Synced: 2025-03-14T05:28:40.064Z (7 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 1.11 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Predict employee turnover using Data Analysis

### The following project uses numpy , pandas , matplotlib libraries in the project.

Before cloning and running the project ensure that you have the necessary libraries installed in your environment.

You may install:


```conda install numpy ```


```conda install matplotlib```


```conda install pandas```


A random forest classifier has been built to analyse the data.


![img1](https://github.com/Surajv311/Predict-employee-turnover-/blob/master/images/img1.jpg)

![img2](https://github.com/Surajv311/Predict-employee-turnover-/blob/master/images/img2.jpg)

![img3](https://github.com/Surajv311/Predict-employee-turnover-/blob/master/images/img3.jpg)

![img4](https://github.com/Surajv311/Predict-employee-turnover-/blob/master/images/img4.jpg)

![img5](https://github.com/Surajv311/Predict-employee-turnover-/blob/master/images/img5.jpg)