Intermediate
Practical ML Skills
"Ship real models"
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1
Cross-Validation
Do not test a student on the same questions you used for practice
Interview7 minLessonVisual
2
Hyperparameter Tuning
Adjusting the temperature, time, and ingredients to get the perfect bake
Interview8 minLessonVisual
3
Ensemble Methods
Wisdom of crowds: combine weak models to make a strong one
Interview8 minLessonVisual
4
Handling Class Imbalance
A fraud detection model trained on 99% legitimate transactions
Interview8 minLesson
5
Model Interpretability: SHAP and LIME
Asking the AI why it made a decision and getting a real answer
Interview9 minLessonVisual
6
ML Pipelines
An assembly line: data in, predictions out, reproducibly
Interview7 minLesson
7
Experiment Tracking with MLflow
A lab notebook: keep track of what you tried and what worked
8 minLesson
8
Deploying ML Models
Opening a restaurant versus cooking at home: serving at scale is different
Interview10 minLessonQuiz