# Introduction The Naive Bayes algorithm is a popular choice for classification tasks in machine learning. It is based on the principles of Bayesian statistics, and despite its simplicity, it has shown remarkable effectiveness in handling a variety of real-world tasks such as spam filtering, text classification, and sentiment analysis. This challenge will take you through the intricacies of implementing and understanding this simple yet powerful machine-learning algorithm.
Click the virtual machine below to start practicing