Explore the critical concept of k-fold cross-validation in machine learning through this comprehensive video tutorial. Delve into the theory and practice of cross-validation, understanding its importance in elevating algorithm performance. Learn about different types of cross-validation, with a focus on k-fold cross-validation. Follow along with a practical demonstration using Python to solidify your understanding. Gain insights into the machine learning process, data feeding techniques, and how cross-validation impacts algorithm efficiency. Perfect for working professionals looking to enhance their machine learning skills and advance their careers in data science, artificial intelligence, and related fields.
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
