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Scikit-Learn Tutorial Series

Kaggle released a series with tutorials in their blog. I recommend to anyone who is starting or want to learn more about the tool.

  1. Intro to machine learning with scikit-learn
  2. Setting up Python for machine learning
  3. Machine learning first steps with the Iris dataset
  4. Model training and prediction with K-nearest neighbors
  5. Choosing a machine learning model
  6. Linear regression (plus pandas & seaborn)
  7. Optimizing your model with cross-validation
  8. Efficiently searching for optimal tuning parameters
  9. Better evaluation of classification models

See tutorials