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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 Linear regression changes your plan.
Machine Learning with Python · Lesson 2 project
Build a regression evidence sheet
A candidate line, slope interpretation, residual calculations, train/test boundary, and evidence-based conclusion.
Lesson project · Model worksheet
Build a regression evidence sheet
A candidate line, slope interpretation, residual calculations, train/test boundary, and evidence-based conclusion.
0%0 of 3 checks
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Project phase 2
Create the deliverable
Use a simple attendance and score table. Draw a candidate line, interpret its slope, calculate two residuals, and explain why the test set must not be used to fit the model.
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Project phase 3
Prove and improve
Use Residual and Train/test split 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.