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Coursera Project Network

Naive Bayes 101: Resume Selection with Machine Learning

Coursera Project Network via Coursera

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Overview

Class Central Tips
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.

Syllabus

  • Resume Selector Using Naive Bayes Classifiers
    • In this project, we will build a Naïve Bayes classifiers 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.

Taught by

Ryan Ahmed

Reviews

4.5 rating at Coursera based on 13 ratings

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