2- Random Forests

Explore the concept of random forests, a powerful ensemble method that builds multiple decision trees using randomized data and features. Understand how this technique reduces overfitting and enhances prediction reliability compared to single decision trees. Practice implementing a random forest model with Python to classify data effectively.