R vs Python battle, or not? + Customer segmentation using k-MEANS and SOM!
Details
Dear RLadiesCPH!
So as promised! It's time for our second meet-up on a very special day (International Women's Day) with two distinguished RLadies. This time we owe a big thanks to Justt for sponsoring the meet-up (http://www.justt.com/). Drinks and food included! :D.
The program of the day is as follows:
5:00 - 5:45 --- First lighting talk: 'R VS PYTHON, The battlefield', by Eva Pardi, Software Developer and Data Analyst @ Laerdal Copenhagen.
Let’s dive deeper in the infinite sea of programming languages designed for data scientists and analysts. I do not think, that we are supposed to choose one and live with that for the rest of our lives. So how can we decide which one to use for what purpose?.
In this session, we will talk about the first steps of R and Python, for what tasks can these languages be used in the best way, and how. You will be able to try both languages during the session in different environments. We will build some interesting stuff from basic statistical models to some hardcore deep learning algorithms.
5:45 - 5:55 --- Break.
5:55 - 6:40 --- Second lighting talk: 'Cluster analysis for customer segmentation' by Joselene Marques, Data Scientist @ Justt.
You will get a short introduction to customer segmentation using RFM (Recency, Frequency and Monetary Value) and a quick start to perform cluster analysis in R.
We start by presenting required R packages for data manipulation, cluster analysis and visualization.
Next, we describe two clustering techniques k-MEANS and SOM (self-organizing map).
Finally, we present the result with lots of insightful (and easy to code) plots.
6:40 - 7:00 --- Networking.
Don't forget to bring your laptops if you want to experiment a little.
RSVP, a.s.a.p. as we only have 30 places available! Looking forward to seeing you soon!
Eva, Joselene, Kristina and Diana
RLadiesCPH