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Spam_Classifier

Tutorial: Machine Learning with Text in scikit-learn

Agenda

  • Representing text as numerical data
  • Reading a text-based dataset into pandas
  • Vectorizing our dataset
  • Building and evaluating a model
  • Comparing models
  • Examining a model for further insight
  • Practicing this workflow on another dataset
  • Tuning the vectorizer