This course on k-fold Cross Validation aims to help learners understand the importance of cross-validation in machine learning. By covering topics such as the overview of machine learning, the process of cross-validation, types of cross-validation, and practical demonstrations using Python, participants will gain the skills needed to enhance algorithm performance. The course utilizes a combination of theory and hands-on sessions to ensure a comprehensive understanding of the subject matter. The intended audience for this course includes individuals interested in advancing their knowledge of machine learning and improving algorithm efficiency through cross-validation techniques.
Overview
Syllabus
Introduction.
Agenda.
Cross-Validation.
Overview of Machine Learning.
Process of Cross-Validation.
Types of Cross Validation.
K Fold Cross Validation.
Practical demonstration using Python .
Summary.
Taught by
Great Learning
