Crash Course on Naive Bayes Classification

This course on Naive Bayes Classification aims to teach learners the fundamentals of the Naive Bayes technique in machine learning. By the end of the course, students should have a strong understanding of how Naive Bayes is applied in various scenarios such as facial recognition, weather prediction, medical diagnoses, and news classifications. The course covers topics including probability, Bayes Theorem, and practical applications of Naive Bayes through coding examples in R. The teaching method involves a combination of theory and hands-on demonstrations. This course is intended for individuals interested in expanding their knowledge of machine learning and data science, particularly those looking to understand the principles behind classification algorithms like Naive Bayes.