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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

Table of Contents (14) Chapters

Preface

Introducing Kaggle and Its Basic Functions

Getting Ready for Your Kaggle Environment

Starting Our Travel – Surviving the Titanic Disaster

Take a Break and Have a Beer or Coffee in London

Get Back to Work and Optimize Microloans for Developing Countries

Can You Predict Bee Subspecies?

Text Analysis Is All You Need

Analyzing Acoustic Signals to Predict the Next Simulated Earthquake

Can You Find Out Which Movie Is a Deepfake?

Unleash the Power of Generative AI with Kaggle Models

Closing Our Journey: How to Stay Relevant and on Top

Other Books You May Enjoy

Index

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

The Kaggle Book

Konrad Banachewicz, Luca Massaron

ISBN: 9781801817479

Get acquainted with Kaggle as a competition platform
Make the most of Kaggle Notebooks, Datasets, and Discussion forums
Create a portfolio of projects and ideas to get further in your career
Design k-fold and probabilistic validation schemes
Get to grips with common and never-before-seen evaluation metrics
Understand binary and multi-class classification and object detection
Approach NLP and time series tasks more effectively
Handle simulation and optimization competitions on Kaggle

The Kaggle Workbook

Konrad Banachewicz, Luca Massaron

ISBN: 9781804611210

Take your modeling to the next level by analyzing different case studies
Boost your data science skillset with a curated selection of exercises

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Developing Kaggle Notebooks

Published in: Dec 2023 Publisher: Packt ISBN-13: 9781805128519

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Authors (1)

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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