A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and use averaging to improve the predictive accuracy and control over-fitting ...

scikit-learn comes with a few standard datasets, for instance the iris and digits datasets for classification. The iris dataset consists of measurements of three different species of irises ...

Plotting the earthquakes of the last 30 months with R and the the National Earthquake Hazards Reduction Program (NEHRP) feed ...