Random Forest Explained in 8 minutes | Machine Learning

Understand Random Forest in Machine Learning in the simplest and most intuitive way possible. In this video, we cover: ✔ What is Random Forest? ✔ Why Decision Trees Overfit ✔ Bagging (Bootstrap Aggregating) ✔ Bootstrap Sampling ✔ Majority Voting ✔ Feature Randomness ✔ Variance Reduction ✔ Out-of-Bag (OOB) Score ✔ Feature Importance ✔ Mean Decrease in Impurity (MDI) ✔ Permutation Importance ✔ Key Hyperparameters ✔ Random Forest vs Decision Tree ✔ Bias vs Variance ✔ Real-Life Examples and Visual Intuition Perfect for: • Machine Learning Beginners • AI/ML Students • BTech Students • Data Science Learners #RandomForest #MachineLearning #ArtificialIntelligence #DataScience #AI #ML