Welcome to the Random Forests Implementation Tutorial!
Learn how to implement Random Forests from scratch or using popular libraries. But first, why not enjoy this delightful SVG froge:
Introduction to Random Forests
Random Forest is a popular machine learning algorithm that combines the predictions of multiple decision trees to improve accuracy and control over-fitting. 🌳🌳🌳
Getting Started
Follow these simple steps to start implementing Random Forests:
- Understand the basics of decision trees.
- Learn about bagging and how it enhances model performance.
- Implement Random Forests using libraries like Scikit-learn.