Train/Test Split and Cross Validation in Python

https://towardsdatascience.com/train-test-split-and-cross-validation-in-python-80b61beca4b6

sklearn.ensemble.RandomForestRegressor¶

https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html

"A random forest regressor.
A random forest is a meta estimator that fits a number of classifying decision trees on various sub-samples of the dataset and uses averaging to improve the predictive accuracy and control over-fitting. The sub-sample size is always the same as the original input sample size but the samples are drawn with replacement if bootstrap=True (default)."