📊 Classical ML
Model Evaluation
Master Model Evaluation — part of the AI & Machine Learning curriculum at SeekhowithRua. Topics: Confusion matrix, ROC-AUC, Cross-validation, Hyperparameter tuning.
What You'll Learn
01
Confusion matrix
02
ROC-AUC
03
Cross-validation
04
Hyperparameter tuning
📖 Overview
Model Evaluation is a fundamental concept in AI & Machine Learning. You'll learn through theory, examples and quizzes.
🎯 Learning Goals
After this chapter you will be able to: implement Confusion matrix, implement ROC-AUC, implement Cross-validation, implement Hyperparameter tuning.
🔗 Continue on Platform
For full video lessons and community support, visit app.seekhowithrua.com. Master Rua teaches every concept step by step using the UEEP model.
Practice Model Evaluation on the Platform
Video lessons · Live coding · Quizzes · Community