Tuesday 28 May 2019
This event has finished.
Started 18:30 PM
Finished 20:30 PM
Organized by Data Science Portugal (DSPT)
Address: R. Alfredo Allen
About this event
Kaggle masters kick ass.....at Data Science. Competition is fierce, the datasets are a never ending playground for an ever growing community of data enthusiasts and the respect given to those at higher positions on the kaggle leaderboards is immense. The Mr Miyagi’s of Data Science that everyone wants to learn from.
So how about a hands on tutorial/presentation from a fantastic kaggle master? Time to bring your laptop, your ideas and a ton of curiosity to the next meetup! We’ll provide the kaggle master
This meetup is sponsored by Novo Banco (https://www.novobanco.pt/site/) and Bosch (https://www.bosch.pt/). Cheers and thank you for the support!
=== SCHEDULE ===
The preliminary agenda for the meetup is the following:
• 18:30-19:00: Welcome and get together
• 19:00-19:20: Talk: You can have fun doing Kaggle competitions. Let’s start! by Pedro Lima
• 19:20-19:25: Group photo
• 19:25-19:45: Networking / Coffee Break
• 19:45-20:45: Mini-Workshop by Pedro Lima
• 20:50: Closing
• 21:00: Dinner is optional but it might be an excellent opportunity for networking. Sign here to attend the meetup dinner (https://doodle.com/poll/73krprt53wfx3r2g)
Title: You can have fun doing Kaggle competitions. Let’s start.
Abstract: Introduction to the platform, how to get started in competitions and some highlights on things that help maximize the fun and success on Kaggle.
Abstract: It will be a mini-workshop where we will work on the Kaggle House Prices dataset with the goal of doing some data analysis, a bit of data cleaning, prediction models and submit results to Kaggle. People new to Kaggle will work with others that already have some experience and this way overcome some of the typical difficulties of a first Kaggle competition.
Short bio: Pedro Lima (https://www.kaggle.com/pvlima) is PhD from University of Coimbra and is managing partner at Cognitiva where he works on machine learning, planning and optimization projects. He also enjoys participating in AI competitions and he is a Kaggle Master.
What you need:
1) Your own laptop;
2) Sign-up to Kaggle (https://www.kaggle.com/account/login), we will be working on Kaggle kernels;
Optional) If you wish to work locally you can download the Kaggle kernel as a jupyter-notebook. To manage the local environment we suggest anaconda (https://conda.io/docs/user-guide/install/index.html).
Note 1: If you have a power strip (https://en.wikipedia.org/wiki/Power_strip) and could bring to share with others, we’ll appreciate a lot.
This page last updated Wednesday 25 March 2020 at 16:12.
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