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Predictive Modeling and Machine Learning with MATLAB

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  • Creating Regression Models
    • In this module you'll apply the skills gained from the first two courses in the specialization on a new dataset. You'll be introduced to the Supervised Machine Learning Workflow and learn key terms. You'll end the module by creating and evaluating regression machine learning models.
  • Creating Classification Models
    • In this module you'll learn the basics of classification models. You'll train several types of classification models and evaluation the results.
  • Applying the Supervised Machine Learning Workflow
    • In this module you'll apply the complete supervised machine learning workflow. You'll use validation data inform model creation. You'll apply different feature selection techniques to reduce model complexity. You'll create ensemble models and optimize hyperparameters. At the end of the module, you'll apply these concepts to a final project.
  • Advanced Topics and Next Steps