Naive Bayes 101: Resume Selection with Machine Learning

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Naive Bayes 101: Resume Selection with Machine Learning provided by Coursera is a comprehensive online course, which lasts for 2 hours worth of material. Naive Bayes 101: Resume Selection with Machine Learning is taught by Ryan Ahmed. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

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.