HyperParameters in Machine Learning
Nov 5 · 2 min read

A hyperparameter is a parameter or a variable we need to set before applying a machine learning algorithm into a dataset.
These parameters express “High Level” properties of the model such as its complexity or how fast it should learn. Hyperparameters are usually fixed before the actual training process begins.


