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Machine Learning Fundamentals

Frame problems, prepare data, split it honestly and judge a first model with the right metrics

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0 / 20 tricks - Trick Book
  1. 1

    What Is Machine Learning? How to Frame a Problem (and When Not To)

    5-stop ride5 min read

  2. 2

    Machine Learning Data Preparation: Cleaning, Encoding and Scaling

    5-stop ride5 min read

  3. 3

    Train, Validation and Test Sets: Understanding Overfitting

    5-stop ride5 min read

  4. 4

    Machine Learning Metrics and Your First Model: Accuracy, Precision, Recall

    5-stop ride5 min read

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