Naive Bayes 101: Resume Selection with Machine Learning
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.
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- Level Professional
- المدة 3 ساعات hours
- الطبع بواسطة Coursera Project Network
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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.الوحدات
Resume Selector Using Naive Bayes Classifier
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Assignment
- Graded Quiz: Test your Project Understanding
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Labs
- Naive Bayes Classifiers for Resume Classification
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Readings
- Project-based Course Overview
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"Naive Bayes 101: Resume Selection with Machine Learning" is an intermediate-level course in Data Science & AI, offered by Coursera. Taught by experts, this 180-minute project guides learners through building a Naïve Bayes Classifier to predict flagged resumes using real-world data. Ideal for professionals in HR or data science, the course is accessible for free, providing practical skills for resume screening in companies.
Ryan Ahmed