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You're reading from  Developing Kaggle Notebooks

Product typeBook
Published inDec 2023
Reading LevelIntermediate
PublisherPackt
ISBN-139781805128519
Edition1st Edition
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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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Learn from the best: observe successful Grandmasters

In the preceding chapters of this book, we explored a variety of analysis methods, visualization tools, and customization options. These techniques were effectively utilized by myself and numerous other esteemed Kaggle Notebook Grandmasters. My journey to becoming the 8th Notebooks Grandmaster and maintaining a top-3 ranking for an extended period was not solely the result of in-depth analysis, high-quality visuals, or crafting engaging narratives in my notebooks. It was also a testament to adhering to a select few best practices.

As we delve into these best practices, we’ll gain insights into what sets successful Kagglers apart, particularly the Kaggle Notebook Masters and Grandmasters. Let’s begin by examining hard evidence from a fascinating dataset: the Meta Kaggle Master Achievements Snapshot. This dataset (see Reference 1) comprises two files: one detailing achievements and the other profiling users:

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Developing Kaggle Notebooks
Published in: Dec 2023Publisher: PacktISBN-13: 9781805128519

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