Answer Posted / Navneet Aryan

A Confusion Matrix is a table used to describe the performance of a classification model (supervised learning) by showing the number of correct and incorrect predictions made for different classes. It compares actual values with predicted values, providing information about True Positives (TP), False Positives (FP), True Negatives (TN), and False Negatives (FN).

What are standardization and normalisation? Give one advantage of each over the other?

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Do you have research experience in machine learning?

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