A supervised learning algorithm, decision trees can also be used for either classification problems or regression problems. It’s called a “tree” because it possesses a hierarchical structure.

Which kind of algorithm works best (supervised, unsupervised, classification, regression, etc.) depends on the kind of problem you’re solving, the computing resources available, and the nature ...

Which kind of algorithm works best (supervised, unsupervised, classification, regression, etc.) depends on the kind of problem you’re solving, the computing resources available, and the nature ...

They found that the algorithm with the best correlation does not always have the best selection rate. Instead of building a regression curve that fits all the training data, classification ...

Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical regression. CART methods are frequently used in ...

The original AdaBoost ("adaptive boosting") algorithm is a binary classification technique (predicting a variable that has two possible values, such as the sex of a person). The AdaBoost.R2 ("AdaBoost ...

We will cover Regression, Classification, Trees, Resampling, Unsupervised techniques, and much more! In this course, you will learn how to: Express why Statistical Learning is important and how it can ...