Random Forest Regression Explained Step by Step | Real Example

Learn Random Forest Regression step by step using a practical blood pressure prediction example. In this tutorial from The Data Helix, we explore how Random Forest Regression works and how multiple decision trees combine their predictions to estimate a continuous outcome. Using a simulated health-camp dataset, we examine how variables such as age, weight, walking time, and family history can be used to predict systolic blood pressure. What you'll learn: What Random Forest Regression is How it differs from a single Decision Tree Why Random Forest uses multiple trees How regression predictions are combined How machine learning can be illustrated using health-related data Who should watch? Beginners in machine learning, data science students, researchers, and anyone interested in understanding regression algorithms through examples. The example uses simulated educational data and is not intended for medical diagnosis or clinical decision-making. Subscribe to The Data Helix for step-by-step lessons in Machine Learning, Data Science, Statistics, Artificial Intelligence, and Genomics. #RandomForest #RandomForestRegression #MachineLearning #DataScience #Regression