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Correlation and Causation are two very important concepts in Statistics and Machine Learning. Correlation is a number that measures how closely x is related to y. Causality is the conclusion that x causes y. But just because two things are correlated, it doesn't mean that one thing causes the other. For instance, the number of ice cream sales ...
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