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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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Recognize other’s contributions, and add your personal touch

To elevate your notebooks on platforms like Kaggle, it’s crucial to engage in a continuous process of improvement and innovation, drawing on both community feedback and the work of others. Regularly revisiting and updating your notebooks based on constructive comments demonstrates a commitment to excellence. You can also look at what others have done. Just forking their work will not bring you too many upvotes. However, if you start from other users’ work and bring new insights by expanding their observations and improving on a visualization or interpretation of the results, it can help you to rise in the ranks.

Moreover, it is extremely important to correctly state when you are starting from somebody’s else work, and be clear on your own contribution. If you want to combine your notebook ideas from various sources, it is recommended to fork the one from which you borrow the most content....

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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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