Coursera
MOOC / Non-credit
0
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.
D
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- What the provider tells you
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- Who stands behind it
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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
Machine Learning
#classification
#machine learning
#predictive modeling
#feature extraction
#data analysis
#statistical methods
#human resources
#naive bayes
#text analysis
#resume screening
$9.99
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