Drill 9: Beginner mistake — Pipelines
Name one mistake a beginner could make with this example.
What you will be able to do
- Name one mistake a beginner could make with this example.
Practice task
Name one mistake a beginner could make with this example.
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LogisticRegression
pipe = Pipeline([
('scale', StandardScaler()),
('model', LogisticRegression(max_iter=1000)),
])
pipe.fit(X_train, y_train)
print(pipe.predict(X_test)[:5])Your turn
EasyWrite your answer
Name one mistake a beginner could make with this example.
TEXT · starter
Your answer…Study tools
Make it yours.
Keep a private note for this lesson, then turn the key ideas into flashcards you can revisit.
Sign in to save notes and flashcards.Both are private to your account and stay with your progress.
Sign inFinished reading?
Lock in what you just learned.
0%
Mark this lesson complete to save your place and move one step closer to the certificate.