Data Science

Visual ML with Yellowbrick

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Coursera With GroupifyAI

This course instructs students on the Rhyme platform of Coursera, where they will evaluate random forest classifiers using Yellowbrick, address class imbalance, and conduct feature analysis with regression, cross-validation, and hyperparameter optimization.

Key AI Functions:Data Science, Python Programming, Machine Learning, Data Visualization, Scikit-Learn

Description for Visual ML with Yellowbrick

  • Employ Yellowbrick's visual diagnostic tools to evaluate the performance of a random forest classifier on the Poker Hand dataset.
  • Address the issue of class imbalance and implement strategies for diagnosing and resolving it.
  • Utilize regression, cross-validation, and hyperparameter optimization to investigate feature analysis, feature importance, algorithm selection, and model evaluation.
  • The course will be conducted on Coursera's Rhyme platform, which offers a hands-on experience with pre-configured cloud workstations that include Python, Jupyter, Yellowbrick, and scikit-learn.
  • Level: Intermediate

    Certification Degree: Yes

    Languages the Course is Available: 1

    Offered by: On Coursera provided by Coursera Project Network

    Duration: 44 hours (approximately)

    Schedule: Flexible

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