Machine learning in Python with scikit-learn

The materials in this repository are for the Pre-workshop on June 28, 4 - 6 pm, as part of the 2017 CDIPS Data Science Workshop. It is prepared by Qingkai Kong.

Goals of the workshop

• Understand the basics of Machine Learning
• Get familiar with the syntax of scikit-learn

After the workshop, you should be able to use popular models in your problems.

The setup

This workshop will use Python 3. If your main environment is Python 2, you can create a virtual environment to use Python 3 without messing up with your existing environment. You can follow steps here

The easiest way to get these working is to use the conda environment manager. I suggest downloading and installing miniconda.

The following command will install all required packages:

$ pip install -r requirements.txt

References

• Intro-to-sklearn
• sklearn tutorial by Jake Vanderplas
• Python Machine Learning by Sebastian Raschka
• sklearn documentation
• sklearn examples