April 2018
Beginner to intermediate
282 pages
6h 52m
English
An ML model uses some critical features to learn patterns in data. All other features add noise to the model, which may lead to a drop in the model's accuracy and overfit the model to the data as well. So, selecting the right features is essential. Also, working a reduced set of important features reduces the model training time.
The following are some of the ways to select the right features prior creating a model:
Also, after creating a baseline model, we can use some of the below methods ...