How to implement Naive Bayes from scratch with Python

In the 6th lesson of the Machine Learning from Scratch course, we will learn how to implement the Naive Bayes algorithm. You can find the code here: Previous lesson: Next lesson: Welcome to the Machine Learning from Scratch course by AssemblyAI. Thanks to libraries like Scikitlearn we can use most ML algorithms with a couple of lines of code. But knowing how these algorithms work inside is very important. Implementing them handson is a great way to achieve this. And mostly, they are easier than youd think to implement. In this course, we will learn how to implement these 10 algorithms. We will quickly go through how the algorithms work and then implement them in Python using the help of NumPy. CONNECT Website: Twitter: Discord: Subscribe: We re hiring Check our open roles: , MachineLearning, DeepLearning