Exercise

Random Forest Introduction

Random Forest is a versatile machine learning method capable of performing both regression and classification tasks. It also undertakes dimensional reduction methods, treats missing values, outlier values and other essential steps of data exploration, and does a fairly good job. It is a type of ensemble learning method, where a group of weak models combine to form a powerful model, read more about Random Forest .

Instructions

100 XP

Import library sklearn.ensemble
Create a object of RandomForestClassifier

Take Hint (-30 XP)