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In AI Training Courses, data preprocessing plays a crucial role in preparing raw data for machine learning models. It includes steps like data cleaning, transformation, normalization, and encoding categorical values to ensure the dataset is consistent and free of errors. By refining and structuring data properly, AI models can learn patterns effectively, reduce bias, and produce accurate and reliable predictions, ultimately improving model performance and ensuring more meaningful outcomes in real-world applications.
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Posted : 03/11/2025 5:53 am