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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)
3m
Video lesson
2. Leakage Control + GroupKFold Lab
7m
Assignment
3. Quiz: Validation + Leakage
6m
Project submission
4. CV-Lab Notebook
71m
Project submission
5. Leakage-Audit Writeup
71m
2. M2 — Boosting + Calibrated Evaluation
Video lesson
1. RF vs XGB/LGBM Case Walkthrough
6m
Reading
2. Calibration: PR-AUC/Brier + Threshold-to-Decision
3m
Project submission
3. Campaign Classifier w/ Calibrated Thresholds
71m
Assignment
4. Quiz: Boosting + Eval
6m
Project submission
5. Error-Analysis + Slice Writeup
71m
3. M3 — Clustering + Pipelines/SHAP
Video lesson
1. k-Means / DBSCAN / Hierarchical Lab
8m
Reading
2. Segmentation + Business Readout
3m
Assignment
3. Quiz: Unsupervised
6m
Project submission
4. Segmentation Lab + Business Readout
71m
Reading
5. Sklearn Pipelines + SHAP Introspection
3m
4. M4 — Pipelines Explainability + Capstones
Video lesson
1. Pipeline + SHAP Walkthrough
7m
Assignment
2. Quiz: Pipelines + Explainability
6m
Assignment
3. Quiz: Module Test (M1-M4)
13m
Project submission
4. Capstone A: Campaign Classifier
71m
Project submission
5. Capstone B: Churn-ML (XGB/LGBM + SHAP + Thresholds)
71m
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ML Case Labs — Validation, Boosting, Segmentation, Pipelines
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M4 — Pipelines Explainability + Capstones
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Quiz: Module Test (M1-M4)
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Quiz: Module Test (M1-M4)
Exit 25Q / 45 min / pass-75. Combined banks.
13 minutes
Assignment
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