Principal Component Analysis (PCA)
Conceptual deep dive with step-by-step implementation in numpy and sklearn.
“Finding patterns is easy in any kind of data-rich environment… the key is in determining whether the patterns represent noise or signal.”
— Nate Silver
A typical issue students run into when fitting a model is balancing the model’s bias with its variance, known as the bias-variance…