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Developing Kaggle Notebooks

Developing Kaggle Notebooks

By : Gabriel Preda
5 (29)
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Developing Kaggle Notebooks

Developing Kaggle Notebooks

5 (29)
By: Gabriel Preda

Overview of this book

Developing Kaggle Notebooks introduces you to data analysis, with a focus on using Kaggle Notebooks to simultaneously achieve mastery in this fi eld and rise to the top of the Kaggle Notebooks tier. The book is structured as a sevenstep data analysis journey, exploring the features available in Kaggle Notebooks alongside various data analysis techniques. For each topic, we provide one or more notebooks, developing reusable analysis components through Kaggle's Utility Scripts feature, introduced progressively, initially as part of a notebook, and later extracted for use across future notebooks to enhance code reusability on Kaggle. It aims to make the notebooks' code more structured, easy to maintain, and readable. Although the focus of this book is on data analytics, some examples will guide you in preparing a complete machine learning pipeline using Kaggle Notebooks. Starting from initial data ingestion and data quality assessment, you'll move on to preliminary data analysis, advanced data exploration, feature qualifi cation to build a model baseline, and feature engineering. You'll also delve into hyperparameter tuning to iteratively refi ne your model and prepare for submission in Kaggle competitions. Additionally, the book touches on developing notebooks that leverage the power of generative AI using Kaggle Models.
Table of Contents (14 chapters)
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12
Other Books You May Enjoy
13
Index

Use Google Cloud Services in Kaggle Notebook

From the Add-ons, you select Google Cloud Services. In the dialog window that opens, select to Attach to Notebook the Google Account available in the list of account. You can select which Google Cloud services you want to integrate with your Kaggle environment. Currently, Kaggle offers integration with Google Cloud Storage, BigQuery and AutoML. When using these services through Kaggle Notebooks you need to know that this will incur charges, according to the plan you have. If you choose to use only public data with BigQuery, will not incur any charges.

Upgrade your Kaggle Notebook to Google Cloud AI Notebook

If you reach the limit of resources available for Kaggle Notebooks (RAM, number of cores, execution time), you can choose to promote to Google Cloud AI Notebooks. You can export your Notebook to Google Cloud. For this action, select File | Upgrade to Goole AI Notebook.

Figure 2.7. Upgrade to Goole Cloud AI Platform Notebooks

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