Imports section first

Data loading second

EDA section present

Feature engineering section

Modeling section

Evaluation section

Conclusions section last

SEED constant defined

random.seed called with SEED

np.random.seed called with SEED

random_state=SEED on estimators

pathlib.Path for file access

Pandera import

Pandera DataFrameSchema

Schema validate called

sklearn Pipeline used

logging module used

No print in production code

Model filename has timestamp

Model filename has metadata

pathlib.Path for paths

Pinned requirements

pipeline.log produced

Model artifact exists

src/ module created

tests/ directory created

Unit tests for src functions

experiments/ directory exists

Three experiment JSON files

Experiment JSON has metadata

Model card: training data section

Model card: feature list

Model card: hyperparameters

Model card: evaluation metrics

Model card: limitations section

Pinned requirements

pathlib.Path used