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Random Forest Tutorial for Beginners: Bagging, Trees, and Predictive Power | PART 2 | AI ML Course

#aiml #srinivasanramanujam #randomforest In this tutorial, we'll dive deep into the world of Random Forest classification and Bootstrap Aggregation (Bagging)! Whether you're a beginner or someone looking to enhance your machine learning skills, this video will guide you through: The basic concepts behind Random Forests How bagging works to improve model accuracy Why Random Forest is one of the most powerful and widely used algorithms in data science We'll break down key concepts with real-life examples, ensuring you understand how Random Forest helps in tasks like medical diagnosis, fraud detection, and recommendation systems. By the end, you'll be ready to implement Random Forests in your own machine learning projects and boost the performance of your models! What you'll learn: Introduction to Random Forest and Bagging How Random Forest reduces overfitting and increases accuracy Practical use cases in real-world applications Don't forget to like, subscribe, and turn on notifications for more machine learning and AI tutorials!