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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

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Qr code Description automatically generated

In this chapter we will analyze data from an early Kaggle competition, Data Science for Good: Kiva Crowdfunding (see reference [1]). You will learn how to tell a story with data in a way that is both informative and catching for the reader. Then we will verify through a detailed analysis a hypothesis from another competition dataset, about Kaggle Metadata.

The rest of the chapter is locked

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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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