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Imbalanced classifications pose a challenge for predictive modeling as most of the machine learning algorithms used for classification were designed around the assumption of an equal number of examples for each class. This results in models that have poor predictive performance, specifically for the minority class.
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I want to learn data science in home itself bcz i dont want much time to take any coaching and also most of the institutes are asking high amount for training. Pease lemme know how i can prepare myself.
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