Building a Prediction Pipeline

Sklearn Pipeline

from sklearn.pipeline import Pipeline

from sklearn.preprocessing import StandardScaler

pipeline = Pipeline([

('scaler', StandardScaler()),

('model', RandomForestClassifier())

])

pipeline.fit(X_train, y_train)

predictions = pipeline.predict(X_test)

*Day 138: A/B Testing Basics.*