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Building Spam Classifier

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Spam Classifier - Create a Pipeline to Transform the Entire Dataset

Now we will create a pipeline to transform the complete dataset.

  • Import Pipeline from Scikit-learn:

    from sklearn.pipeline import << your code goes here >>
  • Next, we will create the pipeline with the transformers that we created earlier:

    preprocess_pipeline = Pipeline([
        ("email_to_wordcount", << your code goes here >>()),
        ("wordcount_to_vector", << your code goes here >>()),
  • Finally, we will use fit_transform() to transform the dataset:

    X_train_transformed = preprocess_pipeline.<< your code goes here >>(X_train)

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