Naive Bayes 101: Resume Selection with Machine Learning

In this guided project, you will learn to build a Naïve Bayes Classifier to predict whether a given resume text is flagged or not. The project focuses on practical application in screening resumes for companies.

• Create a pipeline to remove stop-words, punctuation, and perform tokenization
• Gain understanding of the theory and intuition behind Naive Bayes classifiers
• Train a Naive Bayes Classifier and assess its performance

With training data consisting of 125 resumes, including 33 flagged resumes and 92 non-flagged resumes, this course provides hands-on experience in employing machine learning for resume selection. By the end of the course, you will be equipped to effectively screen resumes using a Naïve Bayes Classifier.