Merge pull request #280 from Winterflower/ml-classification-notebook

Companion Jupyter notebook for ML Classification Analytics

Machine Learning/Analytics Jupyter Notebooks/README.md

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+## Kibana Sample Flights Data Classification Example
+
+Set up a local instance of Jupyter using the following instructions
+
+1. Set up a virtual environment called `env` 
+
+```
+python3 -m venv env
+``` 
+
+2. Activate it
+
+```
+source env/bin/activate
+```
+
+3. Install the required dependencies for your chosen Jupyter notebook
+
+```
+pip install -r some-requirements-file-name.txt
+```
+
+4. Launch Jupyter
+
+```
+jupyter notebook
+```
+
+

Machine Learning/Analytics Jupyter Notebooks/ml-analytics-classification-requirements.txt

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+appnope==0.1.0
+attrs==19.3.0
+backcall==0.1.0
+bleach==3.1.0
+certifi==2019.11.28
+chardet==3.0.4
+decorator==4.4.1
+defusedxml==0.6.0
+elasticsearch==7.1.0
+entrypoints==0.3
+idna==2.8
+importlib-metadata==1.2.0
+ipykernel==5.1.3
+ipython==7.10.1
+ipython-genutils==0.2.0
+ipywidgets==7.5.1
+jedi==0.15.1
+Jinja2==2.10.3
+jsonschema==3.2.0
+jupyter==1.0.0
+jupyter-client==5.3.4
+jupyter-console==6.0.0
+jupyter-core==4.6.1
+MarkupSafe==1.1.1
+mistune==0.8.4
+more-itertools==8.0.0
+nbconvert==5.6.1
+nbformat==4.4.0
+notebook==6.0.2
+pandocfilters==1.4.2
+parso==0.5.1
+pexpect==4.7.0
+pickleshare==0.7.5
+prometheus-client==0.7.1
+prompt-toolkit==2.0.10
+ptyprocess==0.6.0
+Pygments==2.5.2
+pyrsistent==0.15.6
+python-dateutil==2.8.1
+pyzmq==18.1.1
+qtconsole==4.6.0
+requests==2.22.0
+Send2Trash==1.5.0
+six==1.13.0
+terminado==0.8.3
+testpath==0.4.4
+tornado==6.0.3
+traitlets==4.3.3
+urllib3==1.25.7
+wcwidth==0.1.7
+webencodings==0.5.1
+widgetsnbextension==3.5.1
+zipp==0.6.0