Welcome to the Random Forest
In this easy-to-understand session, we’ll explore how the Random Forest algorithm works and how to build one using Python. You’ll learn:
What is a Random Forest and how it improves accuracy
The concept of Decision Trees and how multiple trees make a forest
What is bagging and how it helps avoid overfitting
How to train and test a Random Forest model using Scikit-learn
Real-world use cases like credit scoring, fraud detection, and more
