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Developing Kaggle Notebooks

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

Product type Paperback

Published in Dec 2023

Publisher Packt

ISBN-13 9781805128519

Length 370 pages

Edition 1st Edition

Languages

Python

Tools

Jupyter

Concepts

Data Analysis

Author (1):

Gabriel Preda

View More author details

Table of Contents (14) Chapters

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

References

LANL Earthquake Prediction, Can you predict upcoming laboratory earthquakes?, Kaggle Competition: https://www.kaggle.com/competitions/LANL-Earthquake-Prediction
Gabriel Preda, LANL Earthquake EDA and Prediction: https://www.kaggle.com/code/gpreda/lanl-earthquake-eda-and-prediction
LANL Earthquake Prediction, dataset description: https://www.kaggle.com/competitions/LANL-Earthquake-Prediction/data
BirdCLEF 2021 - Birdcall Identification, identify bird calls in soundscape recordings, Kaggle competition: https://www.kaggle.com/competitions/birdclef-2021
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
librosa load function: https://librosa.org/doc/main/generated/librosa.load.html
Cornell Birdcall Identification, Kaggle competition: https...

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Authors (1)

Gabriel Preda

Gabriel Preda

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.

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