This course introduces you to machine learning (ML) by walking you through key phases of the typical ML pipeline, such as problem framing, data cleaning, data visualization and analysis, feature engineering, and model training and evaluation. We will ground the key concepts and processes introduced to you throughout the pipeline in a use case that took place right here at Amazon. Throughout the session, you will also be introduced to The session also introduces different types of ML problems and the various categories of ML algorithms available to you. By the end of this session, our goal is to provide you with a conceptual understanding of the phases of the ML pipeline and an increased familiarity with related key terms and definitions.
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The Machine Learning Process
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