Machine Learning - 11. Naïve Bayesian Classification Numerical Solved Example in Machine Learning by Mahesh Huddar

4.0 (1)

15 learners

What you'll learn

This course includes

47.5 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

naive bayes solved example naive bayes numerical problem naive bayes classifier example naive bayes algorithm step by step naive bayes machine learning naive bayes in data mining play tennis dataset naive bayes naive bayes prior probability naive bayes likelihood calculation naive bayes posterior probability machine learning solved example naive bayes categorical example

Full Transcript

11. Naïve Bayesian Classification Numerical Solved Example in Machine Learning by Mahesh Huddar Naive Bayes Classification: https://www.youtube.com/playlist?list=PL4gu8xQu0_5IdcQr6VJusAjZ_iTgYWKXN In this video, we solve a Naïve Bayes Classification numerical problem step by step using a categorical dataset. Learn how to calculate prior probability, likelihood, posterior probability, and predict the class label using Bayes’ Theorem. This solved example is perfect for Machine Learning, Data Mining, VTU exams, and university students. Watch till the end for a complete explanation of the Naïve Bayes Algorithm with clear calculations. ******************************** Follow Us on: 1. Blog / Website: https://www.vtupulse.com/ 2. Download Final Year Project Source Code: https://vtupulse.com/download-final-year-projects/ 3. Like Facebook Page: https://www.facebook.com/VTUPulse 4. Follow us on Instagram: https://www.instagram.com/vtupulse/ 5. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates