Public repository made for Automated Feature Engineering workshop (Summer Data Conf, Odessa, 2018-07-21)
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README.md

Automated Feature Engineering with

By Fred Navruzov
(2017-07-21, Odessa, Ukraine)

Please find installation guide described below

Set-up Your Environment

Prerequisites:

Hardware:
  • Laptops with 2+ Cores 4+ Gb of RAM (ideally 8+ Gb, 4 can be not enough)
  • Free disc space 3+ Gb for docker image (if required)
Software:

Installations:

  • Download and install latest Anaconda build for Python 3.6+

  • Be sure to have Anaconda on PATH and make it your default Python interpreter

  • For your convenience:

    • install Git 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

Profit! You are ready to create/view Jupyter .ipynb notebooks and with 99% probability are prepared for the workshop :)

P.S. for those who want correspondent docker image: stay tuned, it will appear in the nearest future