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- from sklearn.pipeline import Pipeline
- from sklearn.preprocessing import LabelEncoder
- from sklearn.preprocessing import OneHotEncoder
- labels = ['Orange', 'Apple', 'Tomato', 'Coconut', 'Strawberry']
- en_pipeline = Pipeline([
- ('encode', LabelEncoder()),
- ('one_hot', OneHotEncoder()),
- ])
- en_labels = en_pipeline.fit_transform(labels)
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