Employee-Attrition-Prediction

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Employee-Attrition-Prediction

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This project involves Employee Attrition Prediction using various data visualisation techniques & machine learning models. The repository consists of the .ipynb file and files used for deploying the ML model on 'Heroku' using the Flask framework.

Employee-Attrition-Prediction 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# Employee Attrition
[
![Attrition-01](https://user-images.githubusercontent.com/53073185/87855289-e83cc300-c934-11ea-991f-59b7eb395eda.png)
](url)

image source : vantagecircle

Attrition is the silent killer that can switly disable even the most successful and stable of the organizations in a shockingly spare amount of time.
Hiring new employees are extremely complex task that requires capital, time and skills.Also new employee costs a lot more than that Persons salary.

- The cost of hiring an employee goes far beyond just paying for their salary to encompass recruiting, training, benefits, and more.
- Small companies spent, on average, more than $1,500 on training, per employee, in 2019.
- Integrating a new employee into the organization can also require time and expenditures.
- It can take up to six months or more for a company to break even on its investment in a new hire.

[The Cost of Hiring a New Employee - Investopedia](https://www.investopedia.com/financial-edge/0711/the-cost-of-hiring-a-new-employee.aspx)

In this project, I have developed a Machine Learning Model to predict the Employee Attrition by implementing various Machine Learning Algorithms.
Conducted exploratory data analysis using various data visualization techniques.

Achieved good accuracy on the 'IBM HR Analytics Employee Attrition & Performance' dataset from Kaggle,using Logistic Regression.

Dataset Link - [IBM HR Analytics Employee Attrition & Performance](https://www.kaggle.com/pavansubhasht/ibm-hr-analytics-attrition-dataset)

Made a WEB API using [Flask](https://flask.palletsprojects.com/en/1.1.x/) framework and deployed it on [Heroku](https://www.heroku.com/) cloud platform. Below is the link to access the API.

Web API - [Employee Attrition](https://employee-attrition-pred.herokuapp.com/)

Employee-Attrition-Prediction

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