[Cancelled] "Machine Learning and Random Forest" by Jason Barker

BrunoGrandePhD commented 8 years ago

Description

This workshop has been cancelled.

We will explore the pros and cons of using random forests for regression and classification, using examples from UCLA's Machine Learning Repository and the R classic, Iris.

Time and Place

Where: Simon Fraser University, Burnaby Campus, Library Research Commons When: Monday, August 22nd, 10:30-11:30 am

Registration

Cancelled.

Required Preparation

Software Dependencies

R (version ≥ 3.1)
randomForest package
ggplot2
Links

Etherpad: TBA Lessons Notes: TBA

Attending SciProg Organizers

@brunogrande
@razoumov
@lpix

BrunoGrandePhD commented 8 years ago

@Hypogeous, when you get a chance, comment with the details relating to your workshop so I can update the "TBA" values. Also, feel free to give me an updated title for the workshop.

BrunoGrandePhD commented 8 years ago

@Hypogeous, in order to create a registration page and properly advertise your workshop, we'll need more details. Please respond by this coming Monday with a description of what you plan on instructing and any prerequisites needed by attendees (e.g. which minimum version of R, any required packages).

Hypogeous commented 8 years ago

Hello. I have attached my brief description of the workshop. Let me know if you think more detail is in order. Barker_Random.txt

BrunoGrandePhD commented 8 years ago

@Hypogeous, thanks!

sciprog-sfu / sciprog-sfu.github.io