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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.

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Beginner

Level

2.25 Hrs

Learning hours

226

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Cross Validation in Machine Learning

2.25 Learning Hours . Beginner

Enrol free with email

Skills you will 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
Hands on exercise on ROC-AUC concept
Code analysis on Evaluating a classification model

Earn a certificate of completion

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Get free course content

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Learn at your own pace

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Master in-demand skills & tools

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Test your skills with quizzes

Cross Validation in Machine Learning

2.25 Learning Hours . Beginner

Enrol free with email
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