Introduction to Machine learning with scikit-learn The Jackson Laboratory
Bioinformatics Training Room, Maine Holt Conf Room & Room 2440, Connecticut
Friday Sep 6, 10am-6pm
Workshop website https://smcclatchy.github.io/2019-09-06-python-machine-learning-ct/
Lesson website https://github.com/amueller/ml-workshop-1-of-4
This etherpad https://pad.carpentries.org/2019-09-06-python-machine-learning-ct
Welcome to Machine Learning with scikit-learn
We will use this Etherpad to share links and snippets of code, take notes, ask and answer questions, and whatever else comes to mind.
The page displays a screen with three major parts:

The left side holds today's notes: please edit these as we go along. you can take notes

The top right side shows the names of users who are logged in: please add your name and pick the color that best reflects your mood and personality.

The bottom right is a real time chat window for asking questions of the instructor and your fellow learners.

Instructor

Dr. Andreas Mueller, Columbia University

Helpers

Sandeep Namburi, Research IT

Anne Deslattes Mays, Research IT

Joshy George, Computational Sciences

Daniel Danis, Robinson Lab

Jim Kadin, Mouse Genome Informatics

Participants
Please add yourself to the participant list below by name and affiliation.

Setup
If you are familiar with git, it is most convenient if you clone the GitHub repository. This
is highly encouraged as it allows you to easily synchronize any changes to the material.

git clone https://github.com/amueller/ml-workshop-1-of-4.git

If you are not familiar with git, you can download the repository as a .zip file by heading over to the GitHub repository (https://github.com/amueller/ml-workshop-1-of-4) in your browser and click the green “Download” button in the upper right.
Resources for Learning Python

Python Data Science Handbook https://jakevdp.github.io/PythonDataScienceHandbook/

Introduction to Machine Learning with Python http://shop.oreilly.com/product/0636920030515.do

Python documentation: https://docs.python.org/3/

Learn Python the Hard Way: https://learnpythonthehardway.org/python3/

Elegant SciPy: http://shop.oreilly.com/product/0636920038481.do

Sticky Notes: Use these on the back of your laptop to indicate that you're happy and everything is fine, and use the other color to indicate that you're having difficulty keeping up or that you need someone to stop by to help you.
Post-workshop survey
Please take a few minutes to complete this very brief survey before leaving.
https://www.surveymonkey.com/r/ml-post
Thanks!