Merge pull request #306 from valeriy42/feature-importance

Feature importance for data frame analytics

Machine Learning/Feature Importance/README.md

@@ -0,0 +1,30 @@
+# Feature importance for data frame analytics
+
+In the notebook we assume that you have [Elasticsearch 7.6 or later](https://www.elastic.co/downloads/elasticsearch) and you run it locally on the port 9200. If you don't, learn how to [get Elasticsearch up and running](https://www.elastic.co/guide/en/elasticsearch/reference/7.6/getting-started-install.html).
+
+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 requirements.txt
+```
+
+4. Launch Jupyter
+
+```
+jupyter notebook
+```
+