Data Science

Foundations of Data Science: K-Means Clustering in Python

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Leverage Python programming skills to develop and analyze comprehensive clustering procedures, thereby mastering the fundamental concepts and operations of data clustering, with a particular emphasis on the K-means algorithm.

Key AI Functions:K-Means Clustering,Machine Learning,Programming in Python

Description for Foundations of Data Science: K-Means Clustering in Python

  • Define and elucidate the fundamental concepts of data clustering.
  • Demonstrate comprehension of the fundamental constructs and characteristics of the Python programming language.
  • Execute the fundamental operations of the K-means algorithm in Python.
  • Develop and implement an entire data clustering workflow, and analyze the results.
  • Level: Beginner

    Certification Degree: Yes

    Languages the Course is Available: 22

    Offered by: On Coursera provided by Goldsmiths, University of London

    Duration: 3 weeks at 9 hours a week

    Schedule: Flexible

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