This contains the code for doing machine learning exercises written on R-H2O. Algorithms and techniques covered are
- Logistic Regression
- RF
- GBM
- Ensemble
- Deep Learning (Feed Forward Neural Net)
- Performance Measurement
- PR curves
- AUC
- Moving to TD
-
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