ml-intro

Code for introductory machine learning workshop

Prerequisites

✔️ Python 3.7

✔️ Pipenv

✔️ Favourite IDE (PyCharm is recommended)

Dependencies setup

Navigate into project's main directory to run commands bellow:

Installing dependencies

pipenv install

NOTE: PyCharm should indentify Pipfile.lock and suggest you installing all packages with one click instead.

Activating virtual environment

pipenv shell

NOTE: PyCharm should activate your virtual environment automagically, so you can use it via IDE's Terminal.

Dependencies check

To check whether installation went correctly, run following script within activated environent:

python check_dependencies.py

NOTE: In PyCharm you can just right-click check_dependencies.py file and choose "Run 'check_dependencies'"

If you see following output, you're all set up. Congratulations 🎉 !

Sklearn is installed ✓
Matplotlib is installed ✓
Skimage is installed ✓
You're ready for ML hacking!