1. Differentiate Supervised learning from Unsupervised learning.
Supervised Learning: Input data is known and labeled. There is a feedback mechanism in supervised learning. Decision trees, logistic regression, and support vector machines are the most often used supervised learning algorithms. Unsupervised Learning: Input data is unlabeled. There is no feedback mechanism in unsupervised learning. K-means clustering, hierarchical clustering, and the apriori algorithm are the most often used unsupervised learning techniques.
