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The Kaggle Workbook: Self-learning exercises and valuable insights for Kaggle data science competitions Kindle Edition
Get on the leader boards in Kaggle competitions and learn valuable skills to supercharge your data science and machine learning career
Key Features
- Explore data science, original ideas, and winning solutions from past Kaggle competitions
- Challenge yourself and start thinking like a Kaggle Grandmaster
- Fill your portfolio with impressive case studies that will come in handy during interviews
Book Description
More than 80,000 Kaggle novices currently participate in Kaggle competitions. To help them navigate the often-overwhelming world of Kaggle, two Grandmasters put their heads together to write The Kaggle Book. The first guidebook on techniques for success has since made plenty of waves in the community. Now, they’ve come back with an even more practical approach based on hands-on exercises that can help you start thinking like an experienced data scientist.
In this book, you’ll get up close and personal with four extensive case studies based on past Kaggle competitions. You’ll:
Learn how bright minds predicted which drivers would likely avoid filing insurance claims in Brazil
See how expert Kagglers estimated the uncertainty distribution of Walmart unit sales
Discover the different solutions on how to identify the type of disease present on cassava leaves that were discovered in 2021
And learn how the Kaggle community classified detected toxic content on Quora with NLP
You can use this workbook as a supplement alongside the Kaggle Book or on its own alongside resources available on the Kaggle website and other online communities. Whatever path you choose, this workbook will help make you a formidable Kaggle competitor.
What you will learn
- Boost your data science skillset with a curated selection of exercises
- Combine different methods to create better solutions
- Case studies and exercises to take your data modeling skills further
- Get a deeper insight into NLP and how it can help you solve unlikely challenges
- Sharpen your knowledge of time-series forecasting
- Challenge yourself to become a better data scientist
Who This Book Is For
If you’re new to Kaggle and want to sink your teeth into practical exercises, start with The Kaggle Book, first. A basic understanding of the Kaggle platform, along with knowledge of machine learning and data science is a prerequisite.
This book is suitable for anyone starting their Kaggle journey or veterans trying to get better at it. Data analysts/scientists who want to do better in Kaggle competitions and secure jobs with tech giants will find this book helpful.
Table of Contents
- The most renown tabular competition: Porto Seguro’s Safe Driver Prediction
- The Makridakis competitions: M5 on Kaggle for accuracy and uncertainty
- Vision competition: Cassava Leaf Disease classification
- NLP competition: Quora insincere questions classification
- LanguageEnglish
- PublisherPackt Publishing
- Publication dateMarch 9 2023
- Kindle (5th Generation)
- Kindle Keyboard
- Kindle DX
- Kindle (2nd Generation)
- Kindle (1st Generation)
- Kindle Paperwhite
- Kindle Paperwhite (5th Generation)
- Kindle Touch
- Kindle
- Kindle Oasis
Product details
- ASIN : B0B8889JSQ
- Publisher : Packt Publishing (March 9 2023)
- Language : English
- Text-to-Speech : Enabled
- Enhanced typesetting : Not Enabled
- X-Ray : Not Enabled
- Word Wise : Not Enabled
- Sticky notes : Not Enabled
- Best Sellers Rank: #1,147,093 in Kindle Store (See Top 100 in Kindle Store)
- #98 in Natural Language Processing
- #295 in Natural Language Processing Software
- #515 in Computer Modelling & Simulation
About the author

Luca Massaron is a data scientist and a research director specialized in multivariate statistical analysis, machine learning and customer insight with over a decade of experience in solving real world problems and in generating value for stakeholders by applying reasoning, statistics, data mining and algorithms. From being a pioneer of Web audience analysis in Italy to achieving the rank of top ten data scientist at competitions held by kaggle.com, he has always been passionate about everything regarding data and analysis and about demonstrating the potentiality of data-driven knowledge discovery to both experts and non-experts. Favouring simplicity over unnecessary sophistication, he believes that a lot can be achieved in data science just by doing the essential.
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