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102: Introduction to Machine Learning for Practitioners

Completed by Hiroki Sugizaki on June 27, 2025

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Badge ID: UMpFtj_CRpSKRbY_wmaUQg

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Get a hands-on introduction to machine learning and data science foundational concepts, model lifecycle, and ethical considerations and apply machine learning in real-world business scenarios.

Learning objectives

  • Understand the history, applications, lifecycle, and tools of machine learning and data science.
  • Gain knowledge of supervised and unsupervised learning, classification, regression, and model evaluation techniques.
  • Build hands-on experience through labs and a final project to demonstrate proficiency in machine learning.

Some of the content and skills presented have been contributed by the content provider.