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fred-navruzov committed Jul 16, 2018
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# Data Summer Conf
**Welcome to the workshop dedicated to automated feature engineering in Python**

<img src="./images/data-summer-conf.jpg"/>

<h1 align="center" font-size="100">
Automated Feature Engineering with
<img src="./images/featuretools-logo.png" width="30%"/>
<img src="./images/featuretools-logo.png" width="15%"/>
</h1>
<h4 align="right">
By Fred Navruzov <br/>
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### Installations:
* Download and install latest [Anaconda](https://www.anaconda.com/download/) build for **Python 3.6+**
* [Windows guide](https://medium.com/@GalarnykMichael/install-python-on-windows-anaconda-c63c7c3d1444), works on Windows 8+
* Linux (Ubuntu) guide: [This](https://medium.com/@GalarnykMichael/install-python-on-ubuntu-anaconda-65623042cb5a) or [this](https://www.digitalocean.com/community/tutorials/how-to-install-the-anaconda-python-distribution-on-ubuntu-16-04), works on Ubuntu 12.04 / 14.04 / 16.04
* [Mac guide](https://medium.com/@GalarnykMichael/install-python-on-mac-anaconda-ccd9f2014072)
* [Windows guide](https://medium.com/@GalarnykMichael/install-python-on-windows-anaconda-c63c7c3d1444), works on Windows 8+
* Linux (Ubuntu) guide: [This](https://medium.com/@GalarnykMichael/install-python-on-ubuntu-anaconda-65623042cb5a) or [this](https://www.digitalocean.com/community/tutorials/how-to-install-the-anaconda-python-distribution-on-ubuntu-16-04), works on Ubuntu 12.04 / 14.04 / 16.04
* [Mac guide](https://medium.com/@GalarnykMichael/install-python-on-mac-anaconda-ccd9f2014072)
* Be sure to have Anaconda on PATH and make it your default Python interpreter
* Install/upgrade required packages via `pip install ...` in your Command Line / Terminal (admin privileges should be granted)

* For your convenience:
* install [Git](https://git-scm.com/download/win) for Windows or use pre-installed on other OS
* ```git clone https://github.com/fred-navruzov/featuretools-workshop``` into suitable folder and stay up-to-date updates
* install [Git](https://git-scm.com/download/win) for Windows or use pre-installed on other OS
* ```git clone https://github.com/fred-navruzov/featuretools-workshop``` into suitable folder and stay up-to-date with updates

* Build conda environment with the correspondent scripts from `scripts` directory

* Check conda envirnment with the correspondent scripts from `scripts` directory
Profit! You are ready to create/view Jupyter `.ipynb` notebooks and with 99% probability are prepared for the workshop :)

Profit! You are ready to create/view Jupyter `.ipynb` notebooks :)
**P.S.** for those who want correspondent `docker` image: stay tuned, it will appear in the nearest future

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