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When a machine gains the capability to learn from practices and experience rather than just by preset instructions is called Machine Learning (ML). It is the subset of AI. ML algorithms produce results and improve their own results on the basis of past experiences. It produces the desired output by modifying its own produced output according to available datasets and implicitly comparing the current outcome to the final output [2].