Skip to content

tosif91/ml_adaboost_classifier_attrition_prediction

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 

Repository files navigation

Employee Attrition Prediction

Predict which factors led to employee attrition in a particular company

Business Goals

  • Which variables are significant in predicting the Attrition of employee
  • How well those variables describe the Attrition.

Task

  • Required to create model to predict employee attrition with the available independent variables

Use

  • This model will then be used by the management to understand the reason behin employee attrition
  • They can accordingly manipulate the strategy of the company.
  • The model will be a good way for management to create Hiring Strategy

Top 5 main reason of Attrition:

  1. DailyRate, MonthlyIncome, MonthlyRate
  2. YearsAtCompany
  3. Age
  4. DistanceFromHome
  5. Frequent Business Travels

Technologies Used

  • sklearn - version 0.24.2
  • numpy - version 1.20.3
  • pandas - version 1.3.4
  • seaborn - version 0.11.2
  • matplotlib - version 3.4.3

Contact

Created by [@tosif91] - feel free to contact me!

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published