What are the differences between supervised and unsupervised learning in machine learning models?
Supervised learning uses labeled data to train models and predict outcomes, while unsupervised learning identifies hidden patterns in unlabeled data. Both methods serve different purposes in data analytics. Data Analytics course can help learners understand these techniques and apply them in real-world data-driven projects.
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