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Supervised learning uses labeled data (input-output pairs) to train a model, while semi-supervised learning uses a combination of labeled and unlabeled data, often improving performance by leveraging both types of information. It's like having some answers and trying to find more by using clues from the questions you don't know.
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How to learn Data Science?
which is the best college or institute for Data analysis course certificate with Fresher placement support in pune?
Currently I am working as a tester now, and looking to get trained in Data scientist.
Will that be a good decision, if I change my stream and move to data scientist field ?
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