R-Ladies: Data science in R - lightning talks

We are lining up about 4-5 speakers to share a talk on the topic of data science. Some talks cover an interesting R package, others are case studies. All takes will be for about 15 minutes, with 5 minutes for questions afterwards.

Agenda:

• Frequently requested by the R-Ladies: an introduction to Magrittr/Dplyr's piping to simplify data cleanup and exploratory data analysis,
by Suzan Baert.

• Finding the structure in unstructured data. Tidytext to the rescue to gain more insights from your text data, by Lisa Truyers.

• Machine Learning in R: an overview of the mlr package.
How to train and compare different models on your data in an amazingly easy way, by Eline Vanwalleghem.

• Traffic collision and open data: can society leverage these data for the common good?
A brief discussion of open road crash data from New York and Amsterdam,
by Huong Nguyen.

• R blogdown, making your own website is not that hard, by Paula Andrea.

Doors will open at 6.45PM
Talks will start around 7PM