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What is Data Mining Practical Techniques Guide about?

This document outlines practical exercises for a Data Mining course at AryAbhAttA College, University of Delhi, focusing on data cleaning, pre-processing, and classification techniques using datasets such as the wine dataset. It includes detailed instructions for applying various data mining algorithms and techniques, including handling missing values, outlier detection, and implementing classification algorithms like Naive Bayes and K-means clustering. The document also provides code snippets for each prac

Author

ranjeet verma

Language

EN