Implementation of NB can be much more interesting than that: - try different models for the likelihood (the author mentioned Gaussian, Bernoulli, and Multinomi

Implementation of NB can be much more interesting than that: - try different models for the likelihood (the author mentioned Gaussian, Bernoulli, and Multinomial which are part of scikit but didn't bother to implement them) - understand how the "naive" assumption makes implementation easier but less expressive (author mentions it in words but pictures are critical here, e.g. the Gaussian case) - using log probabilities for numerical stability - reframing the model as a linear model