June 2018
Intermediate to advanced
276 pages
6h 26m
English
To enable the algorithms to train faster, and to reduce the complexity and overfitting of the model, in addition to improving its accuracy, you can use many feature selection algorithms and techniques. We are going to look at three different feature selection methods: filter methods, wrapper methods, and embedded methods. Let's discuss the various methodologies and techniques.
Read now
Unlock full access