**Learning materials for IBM Data Science Experience, SPSS, Watson Machine Learning, etc.**

- [IBM Data Science Experience Basics](https://github.com/mlhubca/learn/tree/master/dsx_basics.md)
    Introduction to DSX basic components such as Projects, SPSS Modeler, Model Builder, Catalog, Data Refinery, etc.

- [Continuous Learning and Model Evaluation](https://github.com/mlhubca/learn/tree/master/retrain_model.md)
    Step-by-step tutorial on how to set up continuous learning system, which provides automated monitoring of model performance, retraining, and redeployment to ensure prediction quality.

- [Create a model using SPSS Modeler](https://github.com/mlhubca/learn/tree/master/spss-bank-churn.md)
    Step-by-step tutorial on how to create a machine learning model using the SPSS Modeler on DSX

- [Create a model using Model Builder](https://github.com/mlhubca/learn/tree/master/model-builder-bank-churn.md)
    Step-by-step tutorial on how to create a machine learning model using DSX Model Builder
    
- [Lab Exercises](https://github.com/mlhubca/lab/tree/master)
    Lab exercises for various machine learning use cases