Naive Bayes 101: Resume Selection with Machine Learning

Coursera MOOC / Non-credit USD 9.99

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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'll learn

understand the fundamentals of Naïve Bayes classification
ability to apply machine learning techniques to real-world resume selection
develop skills in analyzing and interpreting resume data

Course objectives

train a Naïve Bayes Classifier using provided resume data
predict outcomes based on machine learning algorithms
evaluate the effectiveness of resume screening using statistical methods

Skills you'll gain

classification machine learning predictive modeling feature extraction data analysis statistical methods human resources naive bayes text analysis resume screening

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