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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
Concepts
Author (1):
Gabriel Preda Gabriel Preda
Profile icon Gabriel Preda
LinkedIn
Dr. Gabriel Preda is a Principal Data Scientist for Endava, a major software services company. He has worked on projects in various industries, including financial services, banking, portfolio management, telecom, and healthcare, developing machine learning solutions for various business problems, including risk prediction, churn analysis, anomaly detection, task recommendations, and document information extraction. In addition, he is very active in competitive machine learning, currently holding the title of a three-time Kaggle Grandmaster and is well-known for his Kaggle Notebooks.
See other products by 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

References

  1. LANL Earthquake Prediction, Can you predict upcoming laboratory earthquakes?, Kaggle Competition: https://www.kaggle.com/competitions/LANL-Earthquake-Prediction
  2. Gabriel Preda, LANL Earthquake EDA and Prediction: https://www.kaggle.com/code/gpreda/lanl-earthquake-eda-and-prediction
  3. LANL Earthquake Prediction, dataset description: https://www.kaggle.com/competitions/LANL-Earthquake-Prediction/data
  4. BirdCLEF 2021 - Birdcall Identification, identify bird calls in soundscape recordings, Kaggle competition: https://www.kaggle.com/competitions/birdclef-2021
  5. McFee, Brian, Colin Raffel, Dawen Liang, Daniel PW Ellis, Matt McVicar, Eric Battenberg, and Oriol Nieto. “librosa: Audio and music signal analysis in Python.” In Proceedings of the 14th Python in Science Conference, pp. 18-25. 2015
  6. librosa load function: https://librosa.org/doc/main/generated/librosa.load.html
  7. Cornell Birdcall Identification, Kaggle competition: https...
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Authors (1)

Profile icon Gabriel Preda
LinkedIn
Dr. Gabriel Preda is a Principal Data Scientist for Endava, a major software services company. He has worked on projects in various industries, including financial services, banking, portfolio management, telecom, and healthcare, developing machine learning solutions for various business problems, including risk prediction, churn analysis, anomaly detection, task recommendations, and document information extraction. In addition, he is very active in competitive machine learning, currently holding the title of a three-time Kaggle Grandmaster and is well-known for his Kaggle Notebooks.
Read more
See other products by Gabriel Preda

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