This document summarizes a PyData Venice meetup on February 29, 2024. The meetup will be held in-person and streamed live at 7:00 PM featuring talks from Fabio Dal Forno on Kaggle competitions and Alessandra Bilardi on an overview of the Kaggle platform. Kaggle is a platform for machine learning competitions and projects with over 17 million users worldwide and datasets, models, and discussions. The document outlines Kaggle's history and growth, resources available on the platform, and how it can be useful for learning feature engineering and algorithm tuning through real projects.

1. Giovedì 29 Febbraio 2024
@PyDataVenice #14 #Meetup #PyData
in presenza e in streaming
alle ore 19:00
Fabio Dal Forno
RPA Engineer
@ Generali Italia
Alessandra Bilardi
Data / Automation Specialist
@ Corley Cloud
#Kaggle #Competitions
Venice

2. Giovedì 29 Febbraio 2024
@PyDataVenice #14 #Meetup #PyData
in presenza e in streaming
alle ore 19:00
Fabio Dal Forno
RPA Engineer
@ Generali Italia
Francesco Patanè
Research Fellow
@ Università di Padova
#Kaggle #Competitions
Venice

3. Giovedì 29 Febbraio 2024
@PyDataVenice #14 #Meetup #PyData
in presenza e in streaming
alle ore 19:00
Fabio Dal Forno
RPA Engineer
@ Generali Italia
Francesco Patanè
Research Fellow
@ Università di Padova
#Kaggle #Competitions
Venice

4. Promotori di PyData Venice #14

5. Agenda
Speech
Prossimo incontro
Spritz

6. Kaggle Overview
@PyDataVenice #14 #Meetup #PyData
Alessandra Bilardi - Data & Automation Specialist @ Corley Cloud

7. Agenda
Kaggle in numbers
The platform

8. Kaggle in numbers

9. Kaggle history
https://en.wikipedia.org/wiki/Kaggle
Event When Notes
Foundation April 2010 a Kaggle user was the President and
Chief scientist (November 2010)
Acquiring March 2017 Kaggle is under Google LLC
Over 1 million registered users June 2017
Introduced Models February 2023 Users can use pre-trained models
Over 15 millions users October 2023 Users are in 194 countries
Over 17 millions users February 2024

10. may
open source
with you

11. Kaggle sections
https://www.kaggle.com/
Section Symbol & alternative name Quantity
Competitions 26000
Datasets 298K
Models 2300
Code 1M
Discussions 4000
Learn 70+ hours

12. Kaggle users
https://www.kaggle.com/rankings, https://www.kaggle.com/progression
User Symbol Competitions sub / Users
Novices 119K / 16.85M
Contributors, notebook & upvote 69K / 232K
Experts, bronze medals 10K / 16K
Masters, gold medal or silver medals 2K / 2.6K
Grandmasters, gold medals or silver medals 322 / 497

13. Kaggle users
https://www.kaggle.com/code/steubk/kaggle-grand-masters-map

14. Kaggle resources
https://www.kaggle.com/docs
Resource Quantity
API (Competitions, Datasets, Notebooks) 3 sections
NVIDIA TESLA P100 GPUs 30h / week
Tensor Processing Units (TPUs) 20h / week
/kaggle/working/ 20 GB
Organizations (Hub) 767

15. Kaggle is useless for ..
https://allaboutdata.substack.com/p/kaggle-ne-vale-la-pena-e-cosa-si (di Alberto Danese)
Useless Vote
Entrare nel merito di architetture, MLOps e tutto ciò che trasforma un
algoritmo standalone in qualcosa production-ready
2
Imparare a scrivere codice pulito e ben organizzato 5

16. Kaggle is useful for ..
https://allaboutdata.substack.com/p/kaggle-ne-vale-la-pena-e-cosa-si (di Alberto Danese)
Useful Vote
Comprendere i dati e il problema a livello di business, oltre il solo ML 7
Imparare il tuning degli algoritmi 8
Crearsi un portfolio di veri progetti di AI/ML 8
Conoscere lo stato dell’arte degli algoritmi di AI/ML che davvero
funzionano
9
Imparare il feature engineering, con accorgimenti e trucchetti vari che
non trovate sui manuali universitari e sui libroni di statistica
10
Capire i concetti di overfitting, di validazione e generalizzazione in
scenari complessi
10 e lode

17. The platform

18. The platform
my work space
● Competitions
○ Forecasting
○ AI assistants
● Grandmasters
○ Alberto Danese
○ Kalilur Rahman
● Datasets
○ Meta Kaggle
○ COVID-QA
● Models
○ Mixtral
○ MIRNet

19. Questions ?
@PyDataVenice #14 #Meetup #PyData

20. Kaggle Competitions
@PyDataVenice #14 #Meetup #PyData
Fabio Dal Forno - RPA Engineer @ Generali Italia

21. Questions ?
@PyDataVenice #14 #Meetup #PyData

22. Prossimo incontro
● venerdì 19 aprile ore 19:00

23. Proposte

24. Thanks for listening.
@PyDataVenice #14 #Meetup #PyData