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Great Learning
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Machine Learning

Cross Validation in Machine Learning

Name: Cross Validation in Machine Learning
Rating: 4.64 (22 reviews)

Learn Cross Validation in Machine Learning from basics in this free online training. The Cross Validation in Machine Learning course is taught hands-on by experts. Learn about its concepts, procedures, implementation & a lot more.

4.64

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Beginner

Level

2.25 Hrs

Learning hours

220

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Cross Validation in Machine Learning

2.25 Learning Hours . Beginner

Skills you’ll Learn

Cross-validation

K-fold CV and LOOCV

ROC-AUC curve

About this course

Cross-validation is a technique to evaluate a machine learning model and test its performance on unseen data.This course will help you to understand the concept of cross-validation, K Fold cross-validation Implementation, and the Leave one out cross-validation (LOOCV) concept.Also, the course will help you understand to understand ROC-AUC concept and evaluate a classification model.

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Course Outline

Cross validation concept and procedure

K Fold cross validation Implementation

Leave one out cross validation (LOOCV) concept

Bootstrap sampling with Hands on

Hands on exercise on LOOCV concept

Trusted by 10 Million+ Learners globally

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70% of our learners found our curriculum helpful

Earn a certificate of completion

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Learn at your own pace

Master in-demand skills & tools

Test your skills with quizzes

Cross Validation in Machine Learning

2.25 Learning Hours . Beginner

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