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To make correct predictions for the weather, we need to take into account various parameters, including historical temperature data, precipitation, wind, humidity, and so on.
To make correct predictions for the weather, we need to take into account various parameters, including historical temperature data, precipitation, wind, humidity, and so on. Is this problem a Supervised Learning problem or an Unsupervised Leaming problem? Explain why? Explain the difference between Supervised and Unsupervised learning.
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