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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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Using the Kaggle API to create, update, download, and monitor your notebooks

The Kaggle API is a powerful tool that extends the functionality available in the Kaggle user interface. You can use it for various tasks: define, update, and download datasets, submit to competitions, define new notebooks, push or pull versions of notebooks, or verify a run status.

There are just two simple steps for you to start using the Kaggle API. Let’s get started:

  1. First, you will need to create an authentication token. Navigate to your account, and from the right-side icon, select the menu item Account. Then go to the API section. Here, click on the Create new API token button to download your authentication token (it is a file named kaggle.json). If you will be using the Kaggle API from a Windows machine, its location is C:\Users\<your_name>\.kaggle\kaggle.json. On a Mac or Linux machine, the path to the file should be ~/.kaggle/kaggle.json.
  2. Next, you will have to...
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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