I'm working on all the important machine learning models. You'll be getting descriptions as well as code and an overview of the models alongwith explanation of the code line by line to understand best what is happening in each line and what you can change to make it according to your needs. Feel free to suggest some improvements and suggestions if needed. Thanks:)

1. Naive bayes

• Guassian Naive bayes
• Multinomial Naive bayes