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Naive Bayes 101: Resume Selection with Machine Learning

In this project, we will build a Naïve Bayes Classifier to predict whether a given resume text is flagged or not. Our training data consist of 125 resumes with 33 flagged resumes and 92 non flagged resumes. This project could be practically used to screen resumes in companies.

Status: Natural Language Processing
Status: Model Evaluation
IntermediateGuided Project2 hours

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Marsha Maxwell
5.0
Reviewed Feb 11, 2021
Rodrigo Pasten Cortes
5.0
Reviewed Aug 13, 2021