/Resume_Classification_NLP

Resume Classification Using NLP

Primary LanguageJupyter Notebook

Resume_Classification_NLP

BUISSNESS PROBLEM:

The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention.

Steps Involved In These Project

Step 1 : Extracted The Data From Resumes Using Some Libraries Docx2txt, Texttract, Doc, Pyrespar, OS, RE , And We Have Created A Data Set .

Step 2 : Eda( Exploratory Data Analysis) * Data Preprocesssing * Data Understanding

Step 3 : Visualizations

Step 4 : Model Building With Different Algorithms

Step 5 : Deployment

Step 6 : Production.