Random Forest

Random forests or random decision forests are an ensemble learning method for classification, regression and other tasks that operate by constructing a multitude of decision trees at training time and outputting the class that is the mode of the classes (classification) or mean/average prediction (regression) of the individual trees.

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Online Learning

Machine Learning for Finance in Python

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

By Nathan George

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Online Learning

Supervised Learning in R: Regression

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

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Online Textbooks

Supervised Machine Learning for Text Analysis in R

The book is divided into three sections. We make a (perhaps arbitrary) distinction between machine learning methods and deep learning methods by defiā€¦

By Emil Hvitfeldt and Julia Silge