Clustering vs Classification in Machine Learning | Key Differences Explained

Confused between clustering and classification in machine learning?

This video breaks down the key differences between these two important types of learning:
🔹 Type of learning: Unsupervised vs Supervised
🔹 Data requirements: Labeled vs Unlabeled
🔹 Outputs: Clusters vs Labeled Categories
🔹 Use cases: Customer segmentation, spam detection, and more
🔹 Algorithms: K-Means, DBSCAN, Decision Trees, SVM

Perfect for ML beginners and data science learners.