Data Science Lightning talks

We have 4 speakers who are going to give quick 5-10 min talks.

So far the speakers and titles are:

Dean Kayton: Infrastructure as Code: Getting DevOps tools to do the stuff data scientists don't want to

Hanjo Odendaal: In a class of its own: dealing with class imbalances using caret package

Ewald Zietsman: Keeping track of your experiments

Adriaan Rowan: GLM vs GAMS: A easy way to improve the accuracy while retaining the simplicity of a logistic predictor. Give a brief overview of the differences between GLMs and GAMs and show an example of its benefits

We are still looking for 1 more speakers so send me a message if you are keen.