A Data-Driven Study on Emerging Skill Demand in Online Job Portals using NLP and Time-Series Forecasting

Member

SJIF Impact Factor 8.659 | ISSN: 2582-3930

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

Loading article...

A Data-Driven Study on Emerging Skill Demand in Online Job Portals using NLP and Time-Series Forecasting | IJSREM