# ds-for-telco
Source material for Data Science for Telecom Tutorial at Strata Singapore 2015

The source notebook demonstrates building a churn prediction model using Spark
and Spark MlLib's pipeline API for cross validation and model tuning.

The source ipython notebook can be displayed as slides. If you have ipython
installed you can serve the slides locally with:

    ipython nbconvert ds-for-telco.ipynb --to slides --post serve



# ds-for-telco
Source material for Data Science for Telecom Tutorial at Strata Singapore 2015

The source notebook demonstrates building a churn prediction model using Spark
and Spark MlLib's pipeline API for cross validation and model tuning. The Pipeline API is available in PySpark in version 1.6 or higher.

The source ipython notebook can be displayed as slides. If you have ipython
installed you can serve the slides locally with:

    ipython nbconvert ds-for-telco.ipynb --to slides --post serve



Update readme with version information.
Update readme with version information.
