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ML Case Labs — Validation, Boosting, Segmentation, Pipelines
20 lessons
1. M1 — Regularized Regression + Validation Discipline
Reading
1. Regularized-Regression Case (Housing/Price)
30m
Video lesson
2. Leakage Control + GroupKFold Lab
12m
Assignment
3. Quiz: Validation + Leakage
20m
Project submission
4. CV-Lab Notebook
180m
Project submission
5. Leakage-Audit Writeup
150m
2. M2 — Boosting + Calibrated Evaluation
Video lesson
1. RF vs XGB/LGBM Case Walkthrough
13m
Reading
2. Calibration: PR-AUC/Brier + Threshold-to-Decision
30m
Project submission
3. Campaign Classifier w/ Calibrated Thresholds
240m
Assignment
4. Quiz: Boosting + Eval
20m
Project submission
5. Error-Analysis + Slice Writeup
150m
3. M3 — Clustering + Pipelines/SHAP
Video lesson
1. k-Means / DBSCAN / Hierarchical Lab
9m
Reading
2. Segmentation + Business Readout
25m
Assignment
3. Quiz: Unsupervised
20m
Project submission
4. Segmentation Lab + Business Readout
180m
Reading
5. Sklearn Pipelines + SHAP Introspection
30m
4. M4 — Pipelines Explainability + Capstones
Video lesson
1. Pipeline + SHAP Walkthrough
11m
Assignment
2. Quiz: Pipelines + Explainability
20m
Assignment
3. Quiz: Module Test (M1-M4)
45m
Project submission
4. Capstone A: Campaign Classifier
300m
Project submission
5. Capstone B: Churn-ML (XGB/LGBM + SHAP + Thresholds)
300m
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ML Case Labs — Validation, Boosting, Segmentation, Pipelines
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M3 — Clustering + Pipelines/SHAP
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Segmentation Lab + Business Readout
Back to M3 — Clustering + Pipelines/SHAP
Segmentation Lab + Business Readout
Clusters + readout memo. 100-pt rubric inside.
180 minutes
Project submission
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