April 2018
Beginner to intermediate
282 pages
6h 52m
English
Every ML algorithm has one or many hyperparameters and you are already familiar with k-means. But it is not only ML algorithms that have hyperparameters, feature processing methods also have their hyperparameters and those also need fine-tuning.
Tuning hyperparameters is crucially important to a model's success and AutoML pipeline will help you to define a range of hyperparameters that you would like to experiment with, resulting in the best performing ML pipeline.