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Cross Validation in Machine Learning

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.

4.53
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Beginner

Level

2.25 Hrs

Learning hours

198

Learners

Skills you’ll Learn

About this Free Certificate 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
Hands on exercise on ROC-AUC concept
Code analysis on Evaluating a classification model

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Cross Validation in Machine Learning

2.25 Learning Hours . Beginner

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