# Classification and Regression

### Classification

[Decision tree classifier](/data-science-and-apache-spark/decision-trees.md) 

[Random forest classifier](/data-science-and-apache-spark/random-forests.md) 

[Gradient-boosted tree classifier ](/data-science-and-apache-spark/gradient-boosted-trees-gbts.md)

[Multilayer perceptron classifier](/data-science-and-apache-spark/multilayer-perceptron-classifier.md) 

[Linear Support Vector Machine ](/data-science-and-apache-spark/linear-support-vector-machine.md)

[One-vs-Rest classifier (a.k.a. One-vs-All) ](/data-science-and-apache-spark/onevsrest.md)

[Naive Bayes](/data-science-and-apache-spark/naive-bayes-classifiers.md)

### Regression

[Linear regression](/data-science-and-apache-spark/linear-regression.md) 

[Generalized linear regression](/data-science-and-apache-spark/generalized-linear-regression.md) 

[Decision tree regression](/data-science-and-apache-spark/decision-tree-regression.md) 

[Random forest regression](/data-science-and-apache-spark/random-forest-regression.md) 

[Gradient-boosted tree regression ](/data-science-and-apache-spark/gradient-boosted-tree-regression.md)

[Survival regression](/data-science-and-apache-spark/survival-regression.md) 

[Isotonic regression](/data-science-and-apache-spark/isotonic-regression.md)


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