CRISP - ML(Q)

_Summary:

Welcome to the introductory course on "CRISP-ML(Q)"! This course will provide you with a basic understanding of the CRISP-ML(Q) methodology, which is designed to help you effectively manage and execute machine learning projects. You'll learn about the key phases of CRISP-ML(Q), including data understanding, data preparation, modeling, evaluation, and deployment. We'll cover each phase in detail and provide you with practical examples and case studies to help you apply the methodology to real-world scenarios. Whether you're new to machine learning or have some experience in the field, this course is an ideal starting point to enhance your knowledge and skills. By the end of the course, you'll have a solid understanding of the CRISP-ML(Q) methodology and be equipped with the necessary skills to manage your machine learning projects with confidence.

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