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Naive Bayes 101: Resume Selection with Machine Learning

Offered By: Coursera Project Network via Coursera

Tags

Machine Learning Courses Data Science Courses Naive Bayes Classifier Courses

Course Description

Overview

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

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