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Audit Data & Prevent Leakage

75 minutes

Open lesson Capstone

Applied ML Projects

Application firstFree certificate

Build, evaluate, and explain classical and neural ML prototypes, then complete a portfolio-ready tabular capstone.

Intermediate Python is assumed. Python syntax and NumPy foundations stay available in the Topic Library but are not required on this path.

0/10 path units0%

Build a Baseline

Audit data, define evaluation, and select a controlled baseline.

3 units
1Audit Data & Prevent LeakageNextInspect real data, handle missing values, encode features, avoid leakage, and build repeatable transformations.Not started · 75 min2Build a Defensible ML BaselineFrame a problem, split data correctly, choose metrics, detect overfitting, and compare against a baseline.Not started · 75 min3Classical Model Selection Mini-ProjectCompare a linear rule, a decision stump, and a nearest-centroid classifier under one shared evaluation contract.Not started · 120 min