Kaggle released a series with tutorials in their blog. I recommend to anyone who is starting or want to learn more about the tool.
- Intro to machine learning with scikit-learn
- Setting up Python for machine learning
- Machine learning first steps with the Iris dataset
- Model training and prediction with K-nearest neighbors
- Choosing a machine learning model
- Linear regression (plus pandas & seaborn)
- Optimizing your model with cross-validation
- Efficiently searching for optimal tuning parameters
- Better evaluation of classification models
