Прескочи на главни садржај
🔒 Режим прегледа. Првих петнаест Foundations лекција је бесплатно; ова је Pro. Покрените 7-дневни trial да откључате едитор, AI савете и остатак курса. Картица је обавезна, можете отказати у било ком тренутку у Dashboard.
Покрени 7-дневни trial →
⚡
← Kursevi
›
Data Science Applied
›
Module 2 · Cleaning & Feature Engineering · Recap
›
Цапстоне: енд-то-енд МЛ пипелине
quiz
47 / 104
🇷🇸
SR
▼
↗
Подели
⋯
Више
+200 XP
📋
Zadatak
📖
Teorija
🤖
AI Pomoć
Zadatak
🌐 shown in EN
📝 **Question:** Which ORDER of steps is the production-safe ML workflow? 📋 Pick the right answer. 💡 **Hint:** Re-read the theory above if unsure.
🎯 Kviz
Pitanje
📝 **Question:** Which ORDER of steps is the production-safe ML workflow? 📋 Pick the right answer. 💡 **Hint:** Re-read the theory above if unsure.
A
`model.fit(X_raw, y)` first to get a working baseline, then clean and engineer features later as accuracy improvements
B
Load → QA → clean → features → stratified split → Pipeline → cross-validate → touch test set once → persist artifact (prevents leakage)
C
Skip cross-validation, trust a single `train_test_split(random_state=0)` and ship whichever fit reaches the target metric first
D
Tune hyperparameters by reading the test-set F1 after every iteration and stop when the test metric stops improving notably
Odgovori
💬
Kontaktiraj podršku