Hiring and retaining top talent is an extremely challenging task that requires capital, time and skills. Small business owners spend 40% of their working hours on tasks that do not generate any income such as hiring process for new employees.

In this article, we will implement Data Science techniques to improve the human resources department.

We are going to predict which employees in a company are more willing to leave the organization.

So in this case study, we’re going to learn below points.

1. Why do employees want to leave?
2. Why do they want to stay?
3. How can we make them motivated?

and much more ….:)

We have got the dataset from kaggle.com which will be used for this case study.

Here is the link for the same: https://www.kaggle.com/pavansubhasht/ibm-hr-analytics-attrition-dataset

We know Python is a very useful tool for Data analysis. We will use it to answer above questions.

You can get the full python code on my GitHub: https://github.com/Tariqueakhtar/Machine-Learning/tree/master/HR_Department_Solution

#visualization #employee-attrition #data-analysis #data-visualization #data-science