Shobha
The best way to predict the future is to invent it
What are the key differences between supervised and unsupervised learning in data analytics?
Supervised learning uses labeled data to train models for predicting specific outcomes, such as classifying or forecasting. In contrast, unsupervised learning works with unlabeled data, identifying hidden patterns or groupings within it without predefined categories.For example, Supervised learning could predict the likelihood of a loan approval based on historical data, while unsupervised learning might group customers into segments based on spending habits, without prior labels.