In the machine learning (ML) lifecycle, the training phase is a critical step where the model learns from data to make accurate predictions. This phase involves feeding the model with a large dataset, allowing it to recognize patterns and relationships within the data. During this process, the model adjusts its parameters to minimize errors and improve its predictive ...
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