Applied Machine Learning in Python

Applied Machine Learning in Python

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The course highlights the curriculum focused on statistics and machine learning, covering descriptive statistics, data clustering, predictive model development, and analysis capability development.

Key AI Functions:Python Programming,Machine Learning (ML),Algorithms,Machine Learning,Scikit-Learn

Description for Applied Machine Learning in Python

Features of Course

  • Explain the distinction between descriptive statistics and machine learning.
  • Develop and assess data clusters
  • Describe the various methods for developing predictive models.
  • Develop capabilities that satisfy analysis requirements
  • Level: Intermediate

    Certification Degree: Yes

    Languages the Course is Available: 22

    Offered by: On Coursera provided by University of Michigan

    Duration: 31 hours (approximately)

    Schedule: Flexible

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