Feature Engineering with IBM Watson Studio by Tsun Chow

Thanks to Innovation DuPage and Benedictine University for sponsoring the free pop & pizza and location.

One of the most challenging tasks in business analytics is to how to best represent the data for machine learning algorithms. This talk discusses some best practices of feature engineering followed by a demonstration of how such techniques can be used to analyze and prepare the Titanic data set for survival prediction. It uses a high level visual interface offered by Data Refinery in IBM Watson Studio so that no programming is needed.

If you like to follow along, please register at https://dataplatform.cloud.ibm.com/ for a free IBM Watson Studio account. Also to download the dataset, navigate to https://github.com/Meaad96s/datapreparation_titanic/blob/master/titanic.csv and click on datapreparation_titanic and then “clone and download”.

Tsun will start his presentation at about 6:30. We'll have meet-n-greet both before and after. You do not need to show up exactly at 6 nor stay until 9.

Tsun Chow has a PhD in Computer Science and Electrical Engineering from U. C. Berkeley. Formerly an IT professional at AT&T Bell Labs, Dr. Chow has been teaching IT and Business Analytics at a number of local universities in the Chicago area.