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Project phase 1
Plan the work
State the goal, audience or user, and the evidence a strong result needs. Explain how Mean squared error changes your plan.
Machine Learning with Python · Lesson 3 project
Write a model-selection memo
A comparison of three curves using training and test MSE, with underfitting and overfitting diagnosed.
Lesson project · Model comparison
Write a model-selection memo
A comparison of three curves using training and test MSE, with underfitting and overfitting diagnosed.
0%0 of 3 checks
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Project phase 2
Create the deliverable
Compare three candidate curves using training and test MSE. Choose the best model for new data and defend the choice without selecting only the lowest training error.
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Project phase 3
Prove and improve
Use Underfitting and Overfitting to check the result. Record one piece of evidence, one correction, and one improvement you would make next.
Close the loop
Explain what changed.
After the checks pass, name one decision, one failure you corrected, and one improvement you would make next. That explanation is part of the project.