Naive bayes classifier implementation from scratch in python

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sure! naive bayes classifier is a simple probabilistic classifier based on bayes' theorem with the assumption of independence between features. in this tutorial, i will guide you on how to implement a naive bayes classifier from scratch in python.

here is the step-by-step guide to implement naive bayes classifier from scratch:

step 1: import necessary libraries


step 2: define the naive bayes class


step 3: prepare the data and train the naive bayes classifier


step 4: make predictions using the trained classifier


this is a basic implementation of naive bayes classifier from scratch in python. you can extend this implementation for different types of data and classification tasks. feel free to ask if you have any questions or need further clarification!

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