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k-fold Cross Validation
Learn to elevate algorithm performance efficiency with K-Fold Cross-Validation approach.
Instructor:
Mr. Anirudh RaoModules updated 07/2025
k-fold Cross Validation
1.8K+ learners enrolled so far
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Skills you will gain
Introduction to Cross Validation
Process of Cross Validation
Types of Cross Validation
Key Highlights

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About this course
Machine learning is a fascinating process that is considered a foundational concept for the future. But to understand how machine learning truly works, you have to understand how the data is fed into the algorithm to get it to train on the data and later test it. On the whole, it seems like a simple process but just feeding data into the algorithm in any fashion and expect it to work at good efficiency will not always work. Cross-validation is an extremely important concept that has the capability to elevate a decent algorithm into performing extremely well. Since it is this critical for you to know, we here at Great Learning have come up with this course on k fold cross-validation to help you understand it completely. A good amount of theory and hands-on sessions are discussed to help you understand all of this in a very easy-to-understand manner.
Course outline
Overview of Machine Learning
In this module, you shall understand what machine learning is, why it is needed, supervised learning, its applications, unsupervised learning, and its applications.
Introduction to Cross Validation
Process of Cross Validation
Types of Cross Validation
Understanding k-fold Cross Validation
Stratified k-fold Cross Validation
k-fold Demo with Python
Get access to the complete curriculum once you enroll in the course
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k-fold Cross Validation
4.61
1.5 Hours
Intermediate
1.8K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes
Our course instructor

Mr. Anirudh Rao
Data Science Expert


Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
What is k-fold Cross Validation?
It is one of the most popular data partitioning strategies used by data scientists to use the dataset to create a generalized model effectively. It helps them get more accurate results.
How do you select K in k-fold Cross Validation?
Split the entire data set into K folds where the value of K shouldn’t be too high or too low. Usually, it is chosen between five to ten depending on the available data set range.
What is the difference between k-fold and Cross Validation?
Many other Cross-Validation techniques involve dividing the datasets based on some specified rules. But k-fold Cross Validation involves dividing the data set into k folds that are approximately equal in size. These folds are tested and trained for k times, and each time the different folds of data points are used for validation.
Why do we use k-fold Cross Validation?
There are some specified rules in many of the Machine Learning techniques to group the data sets. In the case of k-fold Cross Validation, we divide the data sets with some k value, and all these k-folds are of approximately similar size. It ensures that every observation from the original dataset appears in the training and test sets.
Will I get a certificate after completing this K-Fold Cross Validation free course?
Yes, you will get a certificate of completion for K-Fold Cross Validation after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.
How much does this K-Fold Cross Validation course cost?
It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of K-Fold Cross Validation can get started with this course.
Is there any limit on how many times I can take this free course?
Once you enroll in the K-Fold Cross Validation course, you have lifetime access to it. So, you can log in anytime and learn it for free online.
Can I sign up for multiple courses from Great Learning Academy at the same time?
Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.
Why choose Great Learning Academy for this free K-Fold Cross Validation course?
Great Learning Academy provides this K-Fold Cross Validation course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.
What are the steps to enroll in this K-Fold Cross Validation course?
Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.
Will I have lifetime access to this free K-Fold Cross Validation course?
Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to.
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