Naive Bayes is a popular and widely used machine learning algorithm and is often the go-to technique when dealing with classification problems. The beauty of Naive Bayes lies in it's incredible speed. It works on the Bayes theorem of probability to predict the class of unknown datasets. So whether you're trying to solve a classic HR analytics problem like predicting who gets promoted, or you're aiming to predict loan default - the Naive Bayes algorithm will get you on your way. In Naive Bayes training course you will learn what is Naive Bayes, how a Naive Bayes classifier works, and how to implement Naive Bayes. We will discuss what the Naive Bayes algorithm is, how it works, the different types of Naive Bayes algorithms, and also implement Naive Bayes on a real-world dataset.
By attending Naive Bayes workshop, delegates will learn:
- All about the Naive Bayes algorithm from scratch.