Past Meetup

Machine Learning in R with H2O and LIME: A free workshop!

This Meetup is past

48 people went


Via Giulio e Corrado Venini, 42 · Milano

How to find us

The doorbell is Mikamai: when you enter, go straight, cross the inner courtyard of the building, you will face a metal door with a sheet with Mikamai written. The office is the last (and only) floor.

Location image of event venue


***** READ ME ***** REGISTRATION INFO ********

To reserve a seat you MUST book a ticket via Eventbrite here:

The RSVP to this Meetup event does not imply any seat reservation!!


The General Data Protection Regulation (GDPR) recently got approved. Are you and your organization ready to explain your models?

Jo-Fai Chow from H2O will lead us in a journey through the construction and interpretation of Machine Learning models, in an hand-on experience open to everybody (previous knowledge of ML is not required).

We will discover the use of two R packages, h2o & LIME, for automatic and interpretable machine learning. We will learn how to build regression and classification models quickly with H2O's AutoML. Then we will be guided to explain the model outcomes with a framework called Local Interpretable Model-Agnostic Explanations (LIME).

The workshop is free, but it is open to max 48 participants. Not much, are they? So make sure to be fast.

When you're sure you can be there, register on the Eventbrite event. If you change your mind, please unsubscribe from Eventbrite! This way you'll leave space for others.
Also keep your eye on the emails, because short before the workshop we'll ask you to confirm your participation (confirmation is mandatory to get your seat!!) and we'll give you instructions for installing all tools required, in order to be fully ready for the workshop.

19:00 - Welcome presentation (+ a presentation of Data Hack Italia)
19:30 - Machine Learning in R with H20 & Lime: The Workshop part1
20:30 - Break: Free pizza!
21:00 - Machine Learning in R with H20 & Lime: The Workshop part2
22:00 - Bye bye and see you soon!

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