Intro to ML: Supervised Learning

Intro to ML: Supervised Learning

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By utilizing modern Python libraries, investigating machine learning tools, and delving into logistic regression, decision trees, and linearly inseparable data, you can master AI with our course.

Key AI Functions:Hyperparameter,sklearn,ensembling,Decision Tree

Description for Intro to ML: Supervised Learning

Features of Course

  • Utilize contemporary machine learning and Python libraries.
  • Compare logistic regression's pros and cons.
  • Explain linearly-inseparable data handling.
  • Define decision tree and how it breaks nodes.
  • Level: Intermediate

    Certification Degree: Yes

    Languages the Course is Available: 21

    Offered by: On Coursera provided by University of Colorado Boulder

    Duration: 39 hours (approximately)

    Schedule: Flexible

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