Answer Posted / Rohit Martolia

The confusion matrix is a table used to describe the performance of a classification model. It compares the actual class labels with the predicted class labels and provides information about false positives, false negatives, true positives, and true negatives.

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

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Tell us do you have research experience in machine learning?

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Do you have research experience in machine learning?

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Tell me what are the last machine learning papers you've read?

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