Classification of supervised learning and unsupervised learning algorithms
Supervised learning means that the samples used by the machine for training contain data and labels.
Unsupervised learning means that the samples used by the machine for training only contain data without corresponding labels.
This article mainly divides the algorithm classification of supervised learning and unsupervised learning and the method of learning using scikit-learn.
The following are the steps to choose a learning method according to different situations:
interested friends can click here to watch the use of functions in the scikit-learn library and how to use scikit.