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Cross Validation in Machine Learning

Beginner level 2.25 learning hrs 252 Learners

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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Skills you will gain

Cross-validation

K-fold CV and LOOCV

ROC-AUC curve

Key Highlights

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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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Globally recognised

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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 Hours

Beginner

252 learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

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