- Lab
- AI
Evaluating ML Model Performance
In this lab, you’ll practice comparing and evaluating different machine learning model families, logistic regression, decision trees, and neural networks, using PyTorch and scikit-learn. When you’re finished, you’ll have a complete workflow for training, testing, and selecting the best model for deployment.
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What's a lab?
Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.
Provided environment for hands-on practice
We will provide the credentials and environment necessary for you to practice right within your browser.
Guided walkthrough
Follow along with the author’s guided walkthrough and build something new in your provided environment!
Did you know?
On average, you retain 75% more of your learning if you get time for practice.