Supervised and Unsupervised Learning - Code World

Supervised and Unsupervised Learning

Others 2022-04-27 16:07:02 views: 0

Supervised learning refers to the process of using a set of samples of known classes to adjust the parameters of a classifier to achieve the required performance.
Unsupervised learning refers to solving various problems in pattern recognition based on training samples whose classes are unknown .
Common supervised learning algorithms: LR, NB, KNN, SVM, RF, GBDT, XgBoost, AdaBoost, etc.
Common unsupervised learning algorithms: K-means, Apriori, FP-Growth, DBSCAN, etc.

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