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Developing Kaggle Notebooks

You're reading from  Developing Kaggle Notebooks

Product type Book
Published in Dec 2023
Publisher Packt
ISBN-13 9781805128519
Pages 370 pages
Edition 1st Edition
Languages
Author (1):
Gabriel Preda Gabriel Preda
Profile icon Gabriel Preda

Table of Contents (14) Chapters

Preface 1. Introducing Kaggle and Its Basic Functions 2. Getting Ready for Your Kaggle Environment 3. Starting Our Travel – Surviving the Titanic Disaster 4. Take a Break and Have a Beer or Coffee in London 5. Get Back to Work and Optimize Microloans for Developing Countries 6. Can You Predict Bee Subspecies? 7. Text Analysis Is All You Need 8. Analyzing Acoustic Signals to Predict the Next Simulated Earthquake 9. Can You Find Out Which Movie Is a Deepfake? 10. Unleash the Power of Generative AI with Kaggle Models 11. Closing Our Journey: How to Stay Relevant and on Top 12. Other Books You May Enjoy
13. Index

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Qr code Description automatically generated

We continue our journey around the world of data by exploring two datasets with geographical distributed data. The first dataset is Every Pub in England. This dataset contains the unique id, name, address, postcode and geographical position data for every pub in England. The second dataset is Starbucks Locations Worldwide. This dataset contains the store number, name, ownership, as well as street address, city and geographical information (latitude and longitude) for all Starbucks stores in the world. We will combine these two datasets and will add also additional geographical support data. We will learn how to work with missing data and perform data imputation if needed, how to visualize geographical data, how to clip and merge polygon data, how to generate custom maps and create multiple layers over maps.

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