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Developing Kaggle Notebooks
Gabriel Preda
BIRMINGHAM—MUMBAI
Packt and this book are not officially connected with Kaggle. This
book is an effort from the Kaggle community of experts to help
more developers.
Developing Kaggle Notebooks
Grosvenor House
11 St Paul’s Square
Birmingham
B3 1RB, UK.
ISBN 978-1-80512-851-9
www.packt.com
Forewords
When I entered the world of AI and ML over twenty years ago, it was hard
to describe to the people in my life what this field was. The ideas of finding
patterns in data made it sound like I was hunting around in the attic with a
flashlight. Telling family members about creating models that made useful
predictions seemed to bring to mind children’s toys, or maybe some sort of
fortune-telling. And the suggestion that machines might learn or be made to
act with some form of observable intelligence was seen as the sort of thing
that serious people left to the realm of science fiction.
Here we are in 2023, and the world has changed dramatically. The world of
AI and ML has made stunning advances and has become – at least in my
opinion – one of the most important technologies in existence. Predictive
models are a tightly integrated part of nearly every computational platform,
system, or application and impact business, trade, health, education,
transportation, nearly every scientific field, and creative fields from visual
art to music to writing. Indeed, AI and ML have become so important that
the topics of governance, policy, and regulation are also emerging areas of
rapid development themselves, and it seems that there is a new
development almost every week.
Much of the most recent focus of attention has been on Generative AI,
driven by LLMs and related methods, all of which draw on the last decade
of advances in scaling up deep learning methods. For these models, it can
feel like bigger is always better, and the scale of resources – computation,
data, expertise – needed to contribute to this field makes it inaccessible to
anyone outside of a small number of large players in the space. Personally, I
reject this viewpoint.
I think that what the world really needs in this moment of massive
change and development is for as many people as possible to learn how
AI and ML models and systems work. We need as many people as
possible to be able to train models, yes, but also to tweak and change them,
to evaluate them, to understand their strengths and weaknesses, and to help
identify ways that they can be more reliable, more efficient, less biased,
more useful, and more accessible to everyone across the globe. Doing this
within a broad, worldwide community helps to make sure that the things we
learn together are shared broadly but are also stress-tested and re-evaluated
by others.
This spirit of sharing is something that I think Gabriel Preda has embodied
for many years, as a leading Kaggle Grandmaster. His dedication to our
Kaggle community has been amazing, and his willingness to share his
expertise serves as an example for all of us. This is one of the reasons why I
think that this book itself is so important. Creating and sharing notebooks is
the best way to make sure that the things we think are true can be checked,
verified, and built upon by others.
So what does the world of AI and ML need right now, in this incredible
moment of possibility? It needs you.
Welcome to Kaggle!
D. Sculley
We created Kaggle with the hope that the platform would allow people like
me the opportunity to break into this powerful new field much easier than it
was for me. Perhaps the thing that makes me most proud is the extent to
which Kaggle has made data science and machine learning more accessible
for a wide audience. Kaggle has seen newcomers evolve into top machine
learners, securing positions at renowned companies like NVIDIA, Google,
Hugging Face, and OpenAI, and even launching their ventures such as
DataRobot.
Gabriel’s book will make Kaggle more accessible, especially for those
interested in learning how to create detailed data analysis notebooks, refine
their presentation skills, and create powerful narratives with data. It also
offers examples of using notebooks to iteratively build models to prepare
for competition submissions, and introduces users to the newest available
features on Kaggle, including a chapter that shows how to leverage the
power of Generative AI through Kaggle Models for prototyping
applications with large language models to generate code, create chains of
tasks, or build retrieval augmented generation systems.
So, for those of you who are reading this book and are new to Kaggle, I
hope it helps make Kaggle, and especially writing Kaggle notebooks, less
intimidating. And for those who have been on Kaggle for a while and are
looking to level up, I hope this book from one of Kaggle’s most respected
members helps you get more out of your time on the platform.
Anthony Goldbloom
Founder and former CEO of Kaggle
Contributors
Marília Prata is a retired dental doctor who worked for 28 years in her
private clinic, provided dental audit services for Petrobras (Petróleo
Brasilero S/A), and served as a public servant in the Civil Police of Rio de
Janeiro. She also completed two specializations in dental prosthesis and
occupational dentistry. She is currently a triple Kaggle Grandmaster at the
time of publishing, ranking second in Notebooks.
I’m very grateful to the Kaggle platform and its users (Kagglers)
because it’s a perfect place to start learning programming languages
hands-on. Special thanks to Gabriel Preda for trusting my ability to
review his invaluable work in this riveting field of data science.
Dr. Firat Gonen, PhD, orchestrates the Data and Analytics division at
Allianz, propelling a Fortune 50 company with pioneering machine learning
initiatives. His expertise, built on a foundation laid during his academic
tenure culminating in a PhD from the University of Houston, now guides
Allianz’s data-driven strategies. His role at Allianz was preceded by
leadership positions at Getir – Turkish Decacorn App – and Vodafone,
where he honed his prowess in managing adept data teams. Dr. Gonen’s
extensive educational background and academic diligence are reflected in
multiple peer-reviewed publications and complemented by his status as a
Kaggle Triple Grandmaster, further adorned with numerous international
data competition accolades. As the Z by HP Global Data Science
Ambassador, Dr. Gonen advocates for the transformative power of data,
underscoring the symbiotic relationship between cutting-edge technology
and industry-leading insights. He was recently awarded the title of LinkedIn
Top Data Science and Artificial Intelligence Voice. He also reviewed the
Kaggle Book.
I would like to thank Deniz for her help, guidance, love, and her
constant support along the way.
Join our book’s Discord space
Join our Discord community to meet like-minded people and learn
alongside more than 5000 members at:
https://packt.link/kaggle
Contents
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
1. Introducing Kaggle and Its Basic Functions
The Kaggle platform
Kaggle Competitions
Kaggle Datasets
Kaggle Code
Kaggle Discussions
Kaggle Learn
Kaggle Models
Summary
2. Getting Ready for Your Kaggle Environment
What is a Kaggle Notebook?
How to create notebooks
Exploring notebook capabilities
Basic capabilities
Advanced capabilities
Setting a notebook as a utility script or adding utility
scripts
Adding and using secrets
Using Google Cloud services in Kaggle Notebooks
Upgrading your Kaggle Notebook to Google Cloud AI
Notebooks
Using a Notebook to automatically update a Dataset
Using the Kaggle API to create, update, download, and monitor
your notebooks
Summary
3. Starting Our Travel – Surviving the Titanic Disaster
A closer look at the Titanic
Conducting data inspection
Understanding the data
Analyzing the data
Performing univariate analysis
Performing multivariate analysis
Extracting meaningful information from passenger names
Creating a dashboard showing multiple plots
Building a baseline model
Summary
References
4. Take a Break and Have a Beer or Coffee in London
Pubs in England
Data quality check
Data exploration
Starbucks around the world
Preliminary data analysis
Univariate and bivariate data analysis
Geospatial analysis
Pubs and Starbucks in London
Data preparation
Geospatial analysis
Summary
References
5. Get Back to Work and Optimize Microloans for Developing Countries
Introducing the Kiva analytics competition
More data, more insights – analyzing the Kiva data competition
Understanding the borrower demographic
Exploring MPI correlation with other factors
Radar visualization of poverty dimensions
Final remarks
Telling a different story from a different dataset
The plot
The actual history
Conclusion
Summary
References
6. Can You Predict Bee Subspecies?
Data exploration
Data quality checks
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The Project Gutenberg eBook of Profili e
paesaggi della Sardegna
This ebook is for the use of anyone anywhere in the United
States and most other parts of the world at no cost and with
almost no restrictions whatsoever. You may copy it, give it away
or re-use it under the terms of the Project Gutenberg License
included with this ebook or online at www.gutenberg.org. If you
are not located in the United States, you will have to check the
laws of the country where you are located before using this
eBook.
Language: Italian
SARDEGNA
PROFILI E PAESAGGI
DELLA
SARDEGNA
DI
PAOLO MANTEGAZZA
MILANO
PER L’EDITORE G. BRIGOLA.
1869
Proprietà Letteraria.
Milano. — Ditta Wilmant.
INDICE
Man möchte glauben, dass
diese Insel gar nicht in Europa
läge, so wenig kümmert man
sich um sie.
Si potrebbe credere che
quest’isola non fosse in
Europa, tanto poco ce ne
occupiamo.
Barone di Maltzan.
UNA PAROLA AL LETTORE
Questo scritterello tirato giù alla buona, più col cuore che colla
squadra, era destinato ad uscire modestamente in qualche rivista:
ma in questi nostri tempi anche le riviste hanno i loro regolamenti, le
loro frontiere, le loro dogane; e il mio lavoro, già piccino per sè, fece
il caparbio e il superbuzzo, nè volle rassegnarsi a comparir pei
giornali tagliato a fette, nè ci son riuscito a condurlo a più modesti
consigli. Ecco perchè un libro, che non è un libro, vi compare
impaginato, col suo frontispizio e il suo indice, col nome dell’editore
nella prima pagina e colla triste parola di fine nell’ultima. Non badate
però alla veste superba, perchè sotto la scorza c’è un galantuomo,
che chiacchiera con voi senza pretensione di scrittore che voglia dir
cose nuove o ripeter cose vecchie meglio degli altri.
Amando il vero più che il brevetto d’invenzione, io godrò assai di
ripetere sulla Sardegna cose già dette da altri; ma ad un patto solo,
ch’io sia riuscito cioè a farvi amare un’isola bellissima e infelicissima,
che noi altri italiani abbiamo il torto di dimenticar troppo e di amar
troppo poco.
Io poi vorrei dirvi un’altra parola che mi riguarda, e per farmela
perdonare voglio rubarla al nostro Giusti. Voi sapete che l’Io è come
le mosche, più le scacci e più ti ronzan d’intorno; sicchè devo
confessare che ho scritto questo libro non libro per amor mio, per
pagare almeno in parte un debito di riconoscenza verso i Sardi così
cortesi, così ospitali, così delicatamente generosi. Mi parve che a
saldare il conto non dovesse bastare quel po’ di lavoro utile che
potrò fare in Palazzo Vecchio come membro della Commissione
d’inchiesta e come deputato. Mi parve che fosse mio dovere scrivere
una parola calda d’affetto per la Sardegna, farla conoscere anche a
quei molti italiani che non possono leggere e studiare le grandi opere
che son privilegio delle biblioteche e dei pochi signori che comprano
i libri grossi e costosi.
Può darsi che la mia parola riesca qua e là severa od acerba; ma
son sicuro che i miei amici di Sardegna non vi troveranno ombra di
fiele. Chi molto ama, molto castiga; ed io amo fortemente quell’isola,
così povera di presente, così ricca d’avvenire; e in nome di questo
affetto fraterno, confido che l’asprezza sarà interpretata come
burbera tenerezza d’un galantuomo, come rabbuffo amoroso
d’amico ad amico.
Rimini, 2 agosto 1869.
CAPITOLO I.
Quando voi avete percorso le noiose, lunghe e tristi lande sterili che
separano Bosa da Macomer e avete attraversati i paesaggi poco
interessanti di Torrealba e i rari boschi di quercie che trovate nella
monotona pianura; voi vi accorgete di esser vicini a Sassari, quando
la natura diviene ridente; quando i monti, rizzandosi più alti intorno a
voi, frastagliano il cielo e la terra in modo da formare quadri svariati
e pittoreschi. Ascendete un monte tutto pieno di magnifici olivi,
coltivati colla stessa sollecitudine e tenerezza con cui si coltiva un
orto cittadino. Io percorsi quei boschi d’argento nel tempo della
raccolta e vidi liete schiere di fanciulle e di ragazzi che raccoglievano
il frutto in lindi canestri, e a quando a quando interrompevano il
lavoro per cantare e ballare. Parevano stormi di passerotti vivaci e
protervi; e raccoglievano le olive colla stessa cura e lo stesso amore
con cui si farebbe bottino di cosa carissima e preziosissima. E
davvero che l’olivo è per Sassari una mina d’argento: mi si diceva
che in quest’anno, fortunato fra gli altri, si farebbero 200,000 barili
d’olio, che è quanto dire una bella cifra rotonda di sette ad otto
milioni di lire. Di questa ricchezza mi accorsi anche entrando in
Sassari, dove molte case nuove si stavano rizzando ed erano le
olive trasformate in muri e marmi. L’olio di Sassari potrebbe esser
fatto meglio: se ne manda a Nizza, dove raffinato cresce di valore e
piglia un nome che per la sua squisitezza nativa ben si ha meritato.
L’olivo dovrebbe anche esser difeso nei dintorni di Sassari dai
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