Topics

Duration

32 Weeks

Progress

0/20

Learning Progress0%

AI Roadmap

Model Evaluation

Learning Path

Follow these concepts in order to master this topic.

Why Model Evaluation Matters

Training vs Validation vs Test Sets

Cross Validation

Confusion Matrix

Accuracy

Precision

Recall

F1 Score

ROC Curve

AUC Score

Mean Absolute Error (MAE)

Mean Squared Error (MSE)

Root Mean Squared Error (RMSE)

R² Score

Bias vs Variance

Learning Curves

Hyperparameter Tuning

Grid Search

Random Search

Choosing the Best Model

Documentation

Official documentation and references.

Scikit-learn Model Evaluation Guide

Recommended

Scikit-learn Metrics

Google Machine Learning Crash Course - Evaluation

Video Courses

Model Evaluation Metrics Explained

50m

Cross Validation & Hyperparameter Tuning

25m

Practice Websites

Practice what you've learned.

Kaggle Learn - Intermediate Machine Learning

OpenML

UCI Machine Learning Repository

Projects

Apply what you've learned by building real projects.

Compare Multiple Classification Models

Beginner

Optimize a Regression Model with Grid Search

Intermediate

Build an End-to-End Model Selection Pipeline

Advanced