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Course promo

UDSClub ML Course

Welcome to the course homepage

Please find installation guide described below

Set-up Your Environment

Prerequisites:

Hardware:
  • Laptop or PC :)
  • 2+ Cores,
  • 4+ Gb of RAM (ideally 8+ Gb)
  • Free disc space 3+ Gb
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
  • Install/upgrade required packages via pip install ... in your Command Line / Terminal (admin privileges should be granted)
    • pip install -U pandas (22.0+)
    • pip install -U numpy (1.14.0+, if not installed as pandas dependency)
    • pip install -U scipy (1.0+)
    • pip install -U matplotlib (2.1.12+)
    • pip install -U lightgbm (2.1.0+) or use official guide
    • pip install -U xgboost (0.7+) or use official guide
    • pip install -U scikit-learn (0.19.1+)
    • download and install proper version of GraphViz from here
    • pip install -U pydot
    • conda install nb_conda (to join it with jupyter notebooks)
    • (optional) install wordcloud with pip install wordcloud or use this solution for Windows OS
  • Check whether your environment is set up properly or not
    • cd to-directory-containing-file-check_environment.py
    • python check_environment.py
    • jupyter notebook

Profit! You are ready to create/view Jupyter .ipynb notebooks :)

P.s. for your convenience:

  • install Git for Windows or use pre-installed on other OS
  • git clone https://github.com/udsclub/udscourse into suitable folder and stay up-to-date with regular content updates

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UDScourse for Kyiv students

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