The most underappreciated skill in building linear models.
Linear regression is not the only linear model.
A lesser-known and much efficient way to run multiple aggregations.
Along with a common misconception about unbiasedness.
What are we missing here?
A guide to out-of-bag validation — what it is, its benefits and some considerations.
...summarized in a single frame.
But isn't well-separated data easiest to separate?
Understanding scaling and standardization from the perspective of skewness.
Intuitive guide to handling non-linearity with neural networks.
Understanding the rationale behind a powerful yet overlooked technique in machine learning.
A reminder to always prefer specific methods over a generalized approach.