Naive Bayes 101: Resume Selection with Machine Learning

About this course

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.

What you will learn

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