This course focuses on the concept of data readiness in the context of machine learning (ML).You will learn how to determine data readiness and identify when to employ data readiness as part of your ML process. Using the KNIME Analytics tool, you will navigate three case studies, which cover various machine learning concepts and techniques that span basic, intermediate, and advanced levels. At the end of this course, you will be able to perform data readiness exercises across a variety of use cases.
We recommend that attendees of this course have the following prerequisites:
This course is intended for:
In this course, you will learn how to:
Intermediate ML data readiness
Advanced ML data readiness
Specialty certification is intended for individuals who perform a development or data science role. It validates a candidate's ability to design, implement, deploy, and maintain machine learning (ML) solutions for given business problems.
Microsoft Power Platform App Maker
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Developing Solutions For Microsoft Azure
Microsoft Azure Architect Design Exam
Implementing Azure Data Solution
Administering Relational Databases On Microsoft Azure