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minor modifications to Playing With Outliers description
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README.md

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@@ -49,20 +49,22 @@ For detailed instructions about skflow, please read [Skflow Readme](https://gith
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### NOTE:
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What's better to use? The virtual environment or normal pip installation?
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## Play with outliers
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## Playing With Outliers
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I have added a fun interactive application using the Python visualization library called Bokeh. The app allows you to
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pick features from the wine data set and set an outlier threshold to explore how this affects the data. The application
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source code is in the `playing_with_outliers` directory and is called `main.py`. To run this application, you will need
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to install bokeh:
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pick features from the wine data set and define an outlier threshold to explore how this affects the data. The
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application source code is in the `playing_with_outliers` directory and is called `main.py`. To run this application,
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you will need to install bokeh:
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```
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pip install bokeh
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```
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Then, to run the application, download the `playing_with_outliers` directory. Then, in the directory where you downloaded
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it, run:
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Then, to run the application, download the `playing_with_outliers` directory and its contents. Then, in the directory
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where you downloaded it, run:
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```
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bokeh serve --show playing_with_outliers
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```
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```
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The application will open in your browser.

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