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3data Science (El-334) Spring-25 by fa9293493 is a document available to read on EtoBox.

What is 3data Science (El-334) Spring-25 about?

The document discusses various data science concepts including the use of descriptive statistics for summarizing sales trends, techniques for dimensionality reduction like PCA and LDA, and the importance of keeping test data separate from training data. It also compares K-Means and Hierarchical clustering, explains how regularization prevents overfitting, and differentiates between underfitting and overfitting. Additionally, it provides Python code examples for calculating average marks from a CSV file and

Author

fa9293493

Language

EN