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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

Creating a dashboard showing multiple plots

We have explored categorical and numerical data, as well as text data. We have learned how to extract various features from text data, and we built aggregated features from some of the numerical ones. Let’s now build two more features by grouping Title and Family Size. We will create two new features:

  • Titles: By clustering together similar titles (like Miss with Mlle., or Mrs. and Mme.) or rare (like Dona., Don., Capt., Jonkheer, Rev., and Countess) and keeping the most frequent ones – Mr., Mrs., Master, and Miss
  • Family Type: By creating three clusters from the Family Size values – Single for a family size of 1, Small for families made of up to 4 members, and Large for families with more than 4 members

Then, we will represent, on a single graph, several simple or derived features that we learned have an important predictive value. We show the passengers’ survival rates for Sex, Passenger...

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