-
Notifications
You must be signed in to change notification settings - Fork 2
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
1 parent
faf62f3
commit 1daff29
Showing
1 changed file
with
55 additions
and
2 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,2 +1,55 @@ | ||
| # HR-_Analytics | ||
| Case Study | ||
| <div align='center'> | ||
| <h1> HR_Analytics </h1> | ||
| </div> | ||
|
|
||
|  | ||
|  | ||
|  | ||
|  | ||
|
|
||
|
|
||
| ## ABOUT | ||
|
|
||
| This is a supervised machine learning model build to help the company XYZ understand what changes they should make to their workplace, in order to get most of their employees to stay thus reducing the attrition rates by analysing the [datasets](https://github.com/DSC-CETB/HR_Analytics_CaseStudy/tree/main/datasets) | ||
|
|
||
| #### Problem Statement | ||
|
|
||
| A large company named XYZ, employs, at any given point of time, around 4000 employees. However, every year, around 15% of its employees leave the company and need to be replaced with the talent pool available in the job market. The management believes that this level of attrition (employees leaving, either on their own or because they got fired) is bad for the company, because of the following reasons - | ||
|
|
||
| 1)The former employees’ projects get delayed, which makes it difficult to meet timelines, resulting in a reputation loss among consumers and partners | ||
|
|
||
| 2)A sizeable department has to be maintained, for the purposes of recruiting new talent | ||
|
|
||
| 3)More often than not, the new employees have to be trained for the job and/or given time to acclimatise themselves to the company Hence, the management has contracted an HR analytics firm to understand what factors they should focus on, in order to curb attrition. | ||
|
|
||
| In other words, they want to know what changes they should make to their workplace, in order to get most of their employees to stay. Also, they want to know which of these variables is most important and needs to be addressed right away. Since you are one of the star analysts at the firm, this project has been given to you. | ||
|
|
||
| #### Goal of the case study | ||
|
|
||
| You are required to model the probability of attrition using a supervised classification model. The results thus obtained will be used by the management to understand what changes they should make to their workplace, in order to get most of their employees to stay. | ||
|
|
||
|
|
||
| ## TECH STACK | ||
|
|
||
| Tech stack includes: | ||
|
|
||
| <img alt="HTML5" src="https://img.shields.io/badge/python-grey?&style=for-the-badge&logo=python&logoColor=blue" >    | ||
|
|
||
|
|
||
| ## Documentation | ||
| Import the required libraries and the [datasets](https://github.com/DSC-CETB/HR_Analytics_CaseStudy/tree/main/datasets) and start working on the [issues](https://github.com/DSC-CETB/HR_Analytics_CaseStudy/issues) | ||
|
|
||
| ## How to contribute | ||
| Follow these 3 step process for contributions: | ||
|
|
||
| 1. Commit changes to a `git branch`, making sure to sign-off those changes for the Developer Certificate of Origin. | ||
| 2. Create a `GitHub Pull Request` for your change, following the instructions in the pull request template. | ||
| 3. Perform a Code Review with the project maintainers on the pull request. | ||
|
|
||
|
|
||
|
|
||
| ## Author | ||
| [@Priyanka](https://github.com/Priyanka142806) | ||
|
|
||
|  | ||
|
|