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This Pull Request introduces two key improvements:

  1. Model Saving in complete_analysis:

    • The complete_analysis function has been enhanced with the ability to save the trained model to a .pkl file. This allows users to preserve models after training for later use without retraining.
    • The user can specify the filename for saving the model or leave it blank to use a default name with a timestamp.
    • The model is saved conditionally, based on the save_model parameter.
  2. Function to Load a Saved Model:

    • A new function load_model was added to load a model from a .pkl file. This allows users to reload the saved model and continue making predictions or further analysis.
  3. Unit Tests:

    • Added tests to ensure that the model is saved correctly and can be loaded without errors.
    • Verified that the loaded model retains its functionality and can make predictions with the test data.
    • Ensured proper cleanup of the saved model file after tests.

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