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A confusion matrix is a table used to evaluate the performance of a classification model by comparing the predicted labels with the actual labels, showing true positives, true negatives, false positives and false negatives.
In Pandas, groupby() splits all the records from your data set into different categories or groups and offers you flexibility to analyze the data.
Learn how to rename columns in the Pandas Python library. Master these four techniques to deal with messy column names in Pandas DataFrame.
Pass, continue and break statements in Python are used to alter the flow of a loop in different ways. Here’s what you need to know to use them effectively.




