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Lab 2-ML by akramshahin006 is a document available to read on EtoBox.

What is Lab 2-ML about?

The document covers fundamental concepts of machine learning, including the differences between traditional programming and machine learning, types of learning, and data visualization techniques such as scatter plots, line plots, and box plots. It explains how to analyze datasets using Python, detect outliers, and understand data distributions through statistical measures. Additionally, it emphasizes the importance of exploratory data analysis (EDA) in identifying data issues and preparing datasets for mode

Author

akramshahin006

Language

EN