New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Machine Learning in Python by Jordan Lui and Lee Sutton #147

Closed
brunogrande opened this Issue Oct 30, 2016 · 1 comment

Comments

Projects
None yet
2 participants
@brunogrande
Member

brunogrande commented Oct 30, 2016

Description

In this introductory look at Machine Learning you will learn about the different types of Machine Learning models and build your first regression model. You'll learn about some of the considerations to fine-tune your model and improve convergence. We'll also show you some great online resources to learn about new ML models and get great example code for your own projects.

This workshop is intended for users who are new to Machine Learning. Users should already have installed Python 2 or Python 3 before this session.

Time and Place

Where: Room 7200, Library Research Commons, SFU Burnaby Campus

IMPORTANT: In room 7200, not 7010.

When: 2016-Dec-06, 3pm

Registration

http://www.lib.sfu.ca/about/branches-depts/rc/31706

Required Preparation

Assumed Knowledge

(You can’t cover much in 1-2 hours, so it’s better that you expect some
prerequisite knowledge. For example, if you’re going to teach about an R
package, it’s recommended that you assume familiarity with the R language.)

Software Dependencies

(If there is one page you can link to for all operating systems, feel free
to delete the following sections and post the link.)

Mac OS X

(Mac OS X installation instructions)

Windows

(Windows installation instructions)

Linux

(Linux installation instructions)

Data

(Links to data files used in your workshop. Let the admins know if you need
help to post the files online.)

Links

Lessons Notes: (Link to lesson notes. Let the admins know if you need help to post this.)

Etherpad: (Optional, but useful for sharing code with learners. Use URL
like: https://etherpad.wikimedia.org/p/2016-06-13-nameOfLesson)

On-site SciProg Organizers

@brunogrande brunogrande added this to the Fall 2016 milestone Oct 30, 2016

This was referenced Oct 30, 2016

@jordanlui

This comment has been minimized.

Show comment
Hide comment
@jordanlui

jordanlui Dec 6, 2016

So excited for this!! :)

jordanlui commented Dec 6, 2016

So excited for this!! :)

@brunogrande brunogrande removed the workshop label Jan 12, 2017

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment