Computer Science

Foundations of Machine Learning

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Develop and evaluate machine learning models using regression, trees, and unsupervised techniques to address various business challenges.

Key AI Functions:Logistic Regression,Unsupervised Learning,Data Pre-Processing,Linear Regression,Decision Tree

Description for Foundations of Machine Learning

  • Utilize the varied stages of a typical machine learning workflow to develop machine learning models.
  • Evaluate the efficacy of machine learning models by employing suitable metrics for a variety of business challenges.
  • Create machine learning models that are based on regression and trees to make predictions about pertinent business issues.
  • Examine business issues that could be resolved by employing unsupervised machine learning models to extract value from data.
  • Level: Beginner

    Certification Degree: Yes

    Languages the Course is Available: 21

    Offered by: On Coursera provided by Fractal Analytics

    Duration: 25 hours (approximately)

    Schedule: Flexible

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