Crash Course on Naive Bayes Classification

Dive into a comprehensive 1-hour 23-minute webinar on Naive Bayes Classification, exploring its applications in facial recognition, weather prediction, medical diagnoses, and news classification. Learn the fundamentals of probability, Bayes Theorem, and the Naive Bayes Classifier through theoretical explanations and practical coding examples in R. Gain insights into real-world applications, including predicting lawmaker voting patterns and diagnosing diabetes. By the end, acquire a strong understanding of this powerful machine learning technique, complete with hands-on demonstrations and a Q&A session to solidify your knowledge.

Introduction
Probability
Probability and Events
Probability Example
Bayes Theorem and Rule
Naive Bayes Application Example
Naive Bayes Classifier
Demo#1 in R
Models to Predict How Lawmakers may Vote
Demo#2 in R
Models to Predict Diabetes in Patients
Demo#3 in R
QnA