New SIEM project for Group

- On-premise work for DeepLearning 

-  - Setup of H2O for Machine Learning & Deep Learning
- -   -  AUTOML for H2o with Python 3 - Anaconda 5.1.0.1
- -   -  H2o.ai AutoML with XGBoost (AdaBoost standard)
- -   -  H2o.ai AutoML with DeepLearning (Keras.tf_1.0)
- -   -  H2o.ai AutoML with discovery of ideal models (Typical Stack-Ensemble with XGBoost and/or DeepLearning) 


- - SIEM evaluation process adopted

- - - process described in link : https://blog.easysol.net/classifying-phishing-urls/ 

- Setup your H2O.ai with Anaconda for Python : https://www.anaconda.com/using-anaconda-h2o-supercharge-machine-learning-predictive-analytics/ 


- Under licensed  components

- - Apache Hive - Apache License 2.0

- - SciPy.org - © Copyright 2008-2018, The SciPy community.

- - Python3.6.4 - https://documentation.help/Python-3.6.4/license.html 

- - Java JDK - https://www.oracle.com/technetwork/java/javase/terms/license/javase-license.html