Browse Library
Sign In Start Free Trial
Close icon Search icon
Account
Browse Library Advanced Search Sign In Start Free Trial

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Developing Kaggle Notebooks
  • Table Of Contents Toc
  • Feedback & Rating feedback
Developing Kaggle Notebooks

Developing Kaggle Notebooks

By : Gabriel Preda
5 (29)
Buy this Book
close
close
Developing Kaggle Notebooks

Developing Kaggle Notebooks

5 (29)
By: Gabriel Preda
Buy this Book

Overview of this book

Developing Kaggle Notebooks introduces you to data analysis, with a focus on using Kaggle Notebooks to simultaneously achieve mastery in this fi eld and rise to the top of the Kaggle Notebooks tier. The book is structured as a sevenstep data analysis journey, exploring the features available in Kaggle Notebooks alongside various data analysis techniques. For each topic, we provide one or more notebooks, developing reusable analysis components through Kaggle's Utility Scripts feature, introduced progressively, initially as part of a notebook, and later extracted for use across future notebooks to enhance code reusability on Kaggle. It aims to make the notebooks' code more structured, easy to maintain, and readable. Although the focus of this book is on data analytics, some examples will guide you in preparing a complete machine learning pipeline using Kaggle Notebooks. Starting from initial data ingestion and data quality assessment, you'll move on to preliminary data analysis, advanced data exploration, feature qualifi cation to build a model baseline, and feature engineering. You'll also delve into hyperparameter tuning to iteratively refi ne your model and prepare for submission in Kaggle competitions. Additionally, the book touches on developing notebooks that leverage the power of generative AI using Kaggle Models.
Table of Contents (14 chapters)
close
close
close
Preface
chevron up
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
Introducing Kaggle and Its Basic Functions
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
Getting Ready for Your Kaggle Environment
What is a Kaggle Notebook?
How to create notebooks
Exploring notebook capabilities
Using the Kaggle API to create, update, download, and monitor your notebooks
Summary
3
Starting Our Travel – Surviving the Titanic Disaster
Starting Our Travel – Surviving the Titanic Disaster
A closer look at the Titanic
Conducting data inspection
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
Take a Break and Have a Beer or Coffee in London
Pubs in England
Starbucks around the world
Pubs and Starbucks in London
Summary
References
5
Get Back to Work and Optimize Microloans for Developing Countries
Get Back to Work and Optimize Microloans for Developing Countries
Introducing the Kiva analytics competition
More data, more insights – analyzing the Kiva data competition
Telling a different story from a different dataset
Summary
References
6
Can You Predict Bee Subspecies?
Can You Predict Bee Subspecies?
Data exploration
Subspecies classification
Summary
References
7
Text Analysis Is All You Need
Text Analysis Is All You Need
What is in the data?
Analyzing the comments text
Preparing the model
Building a baseline model
Transformer-based solution
Summary
References
8
Analyzing Acoustic Signals to Predict the Next Simulated Earthquake
Analyzing Acoustic Signals to Predict the Next Simulated Earthquake
Introducing the LANL Earthquake Prediction competition
Formats for signal data
Exploring our competition data
Feature engineering
Building a baseline model
Summary
References
9
Can You Find Out Which Movie Is a Deepfake?
Can You Find Out Which Movie Is a Deepfake?
Introducing the competition
Introducing competition utility scripts
Metadata exploration
Video data exploration
Summary
References
10
Unleash the Power of Generative AI with Kaggle Models
Unleash the Power of Generative AI with Kaggle Models
Introducing Kaggle Models
Prompting a foundation model
Building a multi-task application with Langchain
Code generation with Kaggle Models
Creating a RAG system
Summary
References
11
Closing Our Journey: How to Stay Relevant and on Top
Closing Our Journey: How to Stay Relevant and on Top
Learn from the best: observe successful Grandmasters
Revisit and refine your work periodically
Recognize other’s contributions, and add your personal touch
Be quick: don’t wait for perfection
Be generous: share your knowledge
Step outside your comfort zone
Be grateful
Summary
References
12
Other Books You May Enjoy
Other Books You May Enjoy
13
Index
Index

Get in touch

Feedback from our readers is always welcome.

General feedback: Email [email protected] and mention the book’s title in the subject of your message. If you have questions about any aspect of this book, please email us at [email protected].

Errata: Although we have taken every care to ensure the accuracy of our content, mistakes do happen. If you have found a mistake in this book, we would be grateful if you reported this to us. Please visit http://www.packtpub.com/submit-errata, click Submit Errata, and fill in the form.

Piracy: If you come across any illegal copies of our works in any form on the internet, we would be grateful if you would provide us with the location address or website name. Please contact us at [email protected] with a link to the material.

If you are interested in becoming an author: If there is a topic that you have expertise in and you are interested in either writing or contributing to a book, please visit http://authors.packtpub.com.

Download a free PDF copy of this book

Thanks for purchasing this book!

Do you like to read on the go but are unable to carry your print books everywhere?

Is your eBook purchase not compatible with the device of your choice?

Don’t worry, now with every Packt book you get a DRM-free PDF version of that book at no cost.

Read anywhere, any place, on any device. Search, copy, and paste code from your favorite technical books directly into your application.

The perks don’t stop there, you can get exclusive access to discounts, newsletters, and great free content in your inbox daily

Follow these simple steps to get the benefits:

  1. Scan the QR code or visit the link below

https://packt.link/free-ebook/9781805128519

  1. Submit your proof of purchase
  2. That’s it! We’ll send your free PDF and other benefits to your email directly

Share your thoughts

Once you’ve read Developing Kaggle Notebooks, we’d love to hear your thoughts! Please click here to go straight to the Amazon review page for this book and share your feedback.

Your review is important to us and the tech community and will help us make sure we’re delivering excellent quality content.

Unlock full access

Continue reading for free

A Packt free trial gives you instant online access to our library of over 7000 practical eBooks and videos, constantly updated with the latest in tech
Start a 7-day FREE trial
Next Chapter
bookmark search playlist download
font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected
Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Confirmation

Modal Close icon
claim successful
Order Page Read Now

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY