...and what we must always obey as programmers.
Understanding the limitations of traditional tools.
A popular interview question.
A simplified guide to generative and discriminative models, along with a quiz.
Demystifying the __init__() method.
Understanding the structural formulation of decision trees and how it can be problematic at times.
A cool Jupyter extension.
An untaught advantage of L2 regularization that most data scientists don't know.
How to finalize a model after cross validation?
A simple and intuitive guide to precision and recall.
...when using it in imbalanced dataset.
...and here's what to try instead.
