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:

• Recent build of Anaconda for Python

Installations:

• Download and install latest Anaconda build for Python 3.6+
  • Windows guide, works on Windows 8+
  • Linux (Ubuntu) guide: This or this, works on Ubuntu 12.04 / 14.04 / 16.04
  • Mac guide
• 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