ML Applications Quiz
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Questions and Answers

Which step indicates that a machine learning model is ready for deployment?

  • Data collection is complete
  • Model meets performance standards (correct)
  • Model evaluation begins
  • Model selection and training

    • What is the purpose of evaluating a machine learning model after training?

  • To introduce new features to the model
  • To improve the model's accuracy (correct)
  • To stop the training process
  • To collect more data for training

    • Which Python library is fundamental for numerical computing?

  • scikit-learn
  • Matplotlib
  • NumPy (correct)
  • Pandas

    • What are the two main types of machine learning discussed in the text?

    <p>Supervised and Unsupervised Learning</p> Signup and view all the answers

    Which step involves teaching a model to make predictions using labeled data?

    <p>Model Selection and Training</p> Signup and view all the answers

    In the context of machine learning, what does unsupervised learning refer to?

    <p>Training a model without labeled data</p> Signup and view all the answers

    Which Python environment is mentioned for setting up a machine learning workspace?

    <p>Jupyter Notebook (Anaconda)</p> Signup and view all the answers

    What is the primary role of scikit-learn in machine learning?

    <p>Providing tools for building machine learning models</p> Signup and view all the answers

    'Data Pre-processing' in the machine learning workflow involves:

    <p>Cleaning and transforming data before training</p> Signup and view all the answers

    'Deployment' of a machine learning model can involve:

    <p>'Integrating it into an application'</p> Signup and view all the answers

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