Random Forest Algorithm

The Random Forest Algorithm is a powerful ensemble learning method that operates by constructing a multitude of decision trees at training time and outputting the class that is the mode of the classes of the individual trees. Coursera's Random Forest Algorithm catalogue teaches you the ins and outs of this versatile algorithm used in machine learning and data mining. You'll learn how to implement this algorithm for both classification and regression tasks, understand feature importance, deal with missing values, and tune hyperparameters for optimal performance. By mastering this skill, you'll be able to work efficiently with large datasets and solve complex predictive problems in various fields such as healthcare, banking, and e-commerce.