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Developing Kaggle Notebooks

You're reading from   Developing Kaggle Notebooks Pave your way to becoming a Kaggle Notebooks Grandmaster

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781805128519
Length 370 pages
Edition 1st Edition
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Author (1):
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Gabriel Preda Gabriel Preda
Author Profile Icon Gabriel Preda
Gabriel Preda
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Table of Contents (14) Chapters Close

Preface 1. Introducing Kaggle and Its Basic Functions FREE CHAPTER 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

Pubs and Starbucks in London

Until now our analysis was focused on individual datasets Every Pub in England and Starbucks Locations Worldwide. To support some of the data analysis tasks related to these two separate datasets, we also added two more datasets, one with geographical position of postal codes, to replace missing latitude and longitude data and one shapefile data for United Kingdom, used to clip the Voronoi polygons generated from pubs position, to align them to the land contour of the islands.In the following we will combine the information from the two main data sources analysed separately and will apply methods developed during this preliminary analysis to support the objective of our study. This will focus on a smaller region, where we have both a high density of pubs and also a concentration of Starbucks coffee shops, London. We already can hypothesize that the geospatial concentration of Starbucks is smaller than the concentration of pubs. We would like to see what the...

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