Skip to content

Latest commit

 

History

4 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 

Repository files navigation

Resume_Screening_with_Python

Companies often receive thousands of resumes for each job posting and employ dedicated screening officers to screen qualified candidates. I will introduce you to a machine learning project on Resume Screening with Python programming language.

What is Resume Screening? Hiring the right talent is a challenge for all businesses. This challenge is magnified by the high volume of applicants if the business is labour-intensive, growing, and facing high attrition rates.

An example of such a business is that IT departments are short of growing markets. In a typical service organization, professionals with a variety of technical skills and business domain expertise are hired and assigned to projects to resolve customer issues. This task of selecting the best talent among many others is known as Resume Screening.

Typically, large companies do not have enough time to open each CV, so they can use machine learning algorithms for the Resume Screening task.

About

Machine-learning resume classifier that ranks CVs against a role to speed up screening (scikit-learn, TF-IDF)

Topics

Resources

Stars

2 stars

Watchers

1 watching

Forks

Contributors

Languages