Data Science Workshop

Workshop for Poznej FI about data analysis and machine learning methods

Start

Prerequisites: Python 3, virtualenv, virtualenvwrapper.

2. Clone (or just download) the project repository:

    $ git clone https://github.com/adaptive-learning/data-science-workshop.git
   

3. Create a virtual environment:

    $ cd data-science-workshop
    $ mkvirtualenv -a . workshop
   

   The name of the virtual environment (workshop) should now appear in front of the prompt. Later, you can activate the environment by workon workshop and deactivate it by deactivate.

4. Install dependencies:

    $ make install
   

5. Open prepared notebook:

    $ make run
   

   This command will create a new jupyter session in your browser. Open the created tab (or window) and click on workshop.ipynb.