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AI and machine learning · 30 lessons · up to 10 minutes each
scikit-learn
A planned path through the estimator API, preprocessing, evaluation, and persistence.
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scikit-learn
Permanent access to the lessons published in this track when you buy. Future lessons are not included. 0 of 30 lessons are published; 0 are in owner review and 30 are Coming Soon.
$29.0030 lessons still in progress
Beginner
Lessons 1–10
01 scikit-learn: Sketch estimators and fit
Topic: estimators and fit
Draw a small map of estimators and fit in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Beginner4 minComing Soon02 scikit-learn: Name the parts of transformers and preprocessing
Topic: transformers and preprocessing
Label the main pieces in transformers and preprocessing in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Beginner5 minComing Soon03 scikit-learn: Trace an example of pipelines and composition
Topic: pipelines and composition
Follow one input through pipelines and composition in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Beginner6 minComing Soon04 scikit-learn: Compare choices for train-test splitting
Topic: train-test splitting
Write down one practical difference between train-test splitting in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Beginner7 minComing Soon05 scikit-learn: Find the boundary in cross-validation
Topic: cross-validation
Mark where cross-validation in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Beginner8 minComing Soon06 scikit-learn: Inspect an example of classification scoring
Topic: classification scoring
Annotate a minimal example of classification scoring in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Beginner9 minComing Soon07 scikit-learn: Connect regression scoring to a neighboring concept
Topic: regression scoring
Show how regression scoring in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Beginner10 minComing Soon08 scikit-learn: Spot a failure mode in hyperparameter search
Topic: hyperparameter search
Describe one likely failure for hyperparameter search in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Beginner3 minComing Soon09 scikit-learn: Read an official example of feature inspection
Topic: feature inspection
Summarize an official example of feature inspection in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Beginner5 minComing Soon10 scikit-learn: Choose a use case for model persistence and validation
Topic: model persistence and validation
Match one small use case to model persistence and validation in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Beginner6 minComing Soon
Intermediate
Lessons 11–20
11 scikit-learn: Build an example with estimators and fit
Topic: estimators and fit
Create a small working example that uses estimators and fit in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Intermediate4 minComing Soon12 scikit-learn: Compose transformers and preprocessing with another component
Topic: transformers and preprocessing
Combine transformers and preprocessing in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Intermediate5 minComing Soon13 scikit-learn: Configure pipelines and composition for a small case
Topic: pipelines and composition
Set up pipelines and composition in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Intermediate6 minComing Soon14 scikit-learn: Validate inputs around train-test splitting
Topic: train-test splitting
Add a check around train-test splitting in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Intermediate7 minComing Soon15 scikit-learn: Use cross-validation in a short workflow
Topic: cross-validation
Add cross-validation in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Intermediate8 minComing Soon16 scikit-learn: Refactor classification scoring into a reusable unit
Topic: classification scoring
Extract classification scoring in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Intermediate9 minComing Soon17 scikit-learn: Exercise regression scoring with sample data
Topic: regression scoring
Run sample data through regression scoring in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Intermediate10 minComing Soon18 scikit-learn: Observe hyperparameter search outputs
Topic: hyperparameter search
Capture the result of hyperparameter search in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Intermediate3 minComing Soon19 scikit-learn: Recover from a feature inspection failure
Topic: feature inspection
Handle one expected failure from feature inspection in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Intermediate5 minComing Soon20 scikit-learn: Document model persistence and validation behavior
Topic: model persistence and validation
Write a short usage note for model persistence and validation in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Intermediate6 minComing Soon
Advanced
Lessons 21–30
21 scikit-learn: Test a boundary around estimators and fit
Topic: estimators and fit
Add an edge-case test for estimators and fit in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Advanced4 minComing Soon22 scikit-learn: Harden transformers and preprocessing
Topic: transformers and preprocessing
Add the relevant access, safety, or validation control to transformers and preprocessing in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Advanced5 minComing Soon23 scikit-learn: Measure pipelines and composition
Topic: pipelines and composition
Record a small baseline for pipelines and composition in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Advanced6 minComing Soon24 scikit-learn: Reduce cost in train-test splitting
Topic: train-test splitting
Change one measurable cost in train-test splitting in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Advanced7 minComing Soon25 scikit-learn: Diagnose a cross-validation failure
Topic: cross-validation
Use an observable signal to explain a failure in cross-validation in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Advanced8 minComing Soon26 scikit-learn: Make classification scoring repeatable
Topic: classification scoring
Show that rerunning classification scoring in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Advanced9 minComing Soon27 scikit-learn: Review trade-offs in regression scoring
Topic: regression scoring
Compare two documented approaches to regression scoring in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Advanced10 minComing Soon28 scikit-learn: Improve hyperparameter search maintainability
Topic: hyperparameter search
Refine hyperparameter search in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Advanced3 minComing Soon29 scikit-learn: Verify feature inspection end to end
Topic: feature inspection
Check that a complete small flow using feature inspection in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Advanced5 minComing Soon30 scikit-learn: Audit model persistence and validation against its source docs
Topic: model persistence and validation
Check the implementation of model persistence and validation in the context of scikit-learn estimators, pipelines, and model validation; save a short example or check that demonstrates the result.
Advanced6 minComing Soon
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