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You're reading from  Developing Kaggle Notebooks

Product typeBook
Published inDec 2023
Reading LevelIntermediate
PublisherPackt
ISBN-139781805128519
Edition1st Edition
Languages
Python
Concepts
Data Analysis
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Author (1)
Gabriel Preda
Gabriel Preda
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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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The content of next chapters

We learned what Kaggle is and how we can use the resources and features of the platform. Let’s take a quick look into the content of the next chapters that focus on how to create original, insightful, and recognizable content in the Notebooks space.

Getting ready for Kaggle environment

You learn here more details about Code features on Kaggle, with information about the computing environments, how to use the online editor, how to fork and modify an existing example, how to use the source control facilities on Kaggle to either save or save and run a new Notebook.

Starting our travel – how to survive on Titanic?

Most of the Kagglers will start their journey on the platform with this competition. Although is using a small and simple dataset, it has some hidden insights that we will explore together. Here we start to build the skills that we will further develop in the book. We introduce some tools for data analysis in Python (pandas and numpy...

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Developing Kaggle Notebooks
Published in: Dec 2023Publisher: PacktISBN-13: 9781805128519
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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.
Read more about Gabriel Preda

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