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Moscow Institute of Physics and Technology vía Coursera
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Interpretable Machine Learning Applications: Part 1

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  • Interpretable machine learning applications: Part 1
    • Gain insights into the feature importance of your prediction model. Getting to know which features and their values are most significant for the prediction model, will not only give further insights into the prediction model for machine learning modelers and developers, but also for the intended users of a machine learning application. Hence, in this project, you will learn how to go beyond the development and use of a machine learning (ML) application based on a regression classifier, by adding on explainability and interpretation aspects of the ML application.