# Data science example 1

## Use case

* Read in data
* Handle categorical columns specially, if required (e.g. scikit-learn)
* Perform train/test split of data
* Build GBM model
* Make predictions

## Dataset

* [allyears_tiny.csv](allyears_tiny.csv)

## Scripts and UI

### Native

* [Native R](example-native.R)
* [Native Python/Pandas/Scikit](example-native-pandas-scikit.py)
* [Native iPython Notebook Pandas/Scikit](example-native-pandas-scikit.ipynb)

### H2O

* [H2O REST API](example-h2o-REST.md)
* [H2O R](example-h2o.R)
* [H2O Python](example-h2o.py)
* [Java](example.java)
* [Scala](example.scala)
* [Flow UI](example-flow.md)
* [Flow JSON](example-flow.json)
