Implement Gaussian Naive Bayes from scratch: fit per-class statistics and classify in log space.

A from-scratch staple that checks whether you understand the conditional-independence assumption and why you work in log space. The signal is fitting per-class means and variances, summing log-likelihoods, and adding the log prior. Here is the implementation.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.