Classification algorithms can play a crucial role in detecting anomalous data points based on the different attributes.
Manufacturing process often involves quantities in bulk and so there is always a possibility of having certain components as defective.
One of the most significant challenges faced by manufacturing firms is that their systems can detect only 20% of irregularities in advance.
Learn how to build and apply a robust classification model which can efficiently detect the anomalous parts and prevent unnecessary wastage of resource and time.
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