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Titlebook: Google Cloud Platform for Data Science; A Crash Course on Bi Dr. Shitalkumar R. Sukhdeve,Sandika S. Sukhdeve Book 2023 Shitalkumar R. Sukhd

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樓主: misperceive
21#
發(fā)表于 2025-3-25 06:39:00 | 只看該作者
d Looker Data Studio.Takes a deep dive into Google Colaborat.This book is your practical and comprehensive guide to learning Google Cloud Platform (GCP) for data science, using only the free tier services offered by the platform..Data science and machine learning are increasingly becoming critical t
22#
發(fā)表于 2025-3-25 08:48:25 | 只看該作者
https://doi.org/10.1007/978-1-4612-2846-2cution. Moreover, we will gain insights into employing BigQuery ML for the development of machine learning models. The exploration extends to Google Cloud AI Platform, where we will gain practical experience with Vertex AI for training and deploying machine learning models.
23#
發(fā)表于 2025-3-25 15:07:57 | 只看該作者
The Kohler Diagram for Gallium,ations, explore BigQuery integration, build dashboards, and discover data visualization with Colab. Throughout, we’ll emphasize the importance of data visualization in driving business intelligence and decision-making.
24#
發(fā)表于 2025-3-25 19:51:22 | 只看該作者
25#
發(fā)表于 2025-3-25 23:39:29 | 只看該作者
26#
發(fā)表于 2025-3-26 03:19:00 | 只看該作者
27#
發(fā)表于 2025-3-26 07:56:38 | 只看該作者
https://doi.org/10.1007/978-1-4612-1168-6 vital role of data manipulation in the data lifecycle, utilizing Google Cloud Dataflow and Dataprep tools for processing and refining data at scale, enabling valuable insights and informed decisionmaking. Harnessing Dataflow and Dataprep, we develop expertise in creating efficient data manipulation
28#
發(fā)表于 2025-3-26 11:43:47 | 只看該作者
29#
發(fā)表于 2025-3-26 14:46:55 | 只看該作者
Google Colaboratory,ions, generating random numbers, and visualizing data using libraries like Matplotlib and Seaborn. Moreover, we will explore importing libraries into Colab notebooks and working with data stored in Google Drive using the google.colab library. We will learn how to import data from and write data to G
30#
發(fā)表于 2025-3-26 18:53:17 | 只看該作者
Data Processing and Transformation, vital role of data manipulation in the data lifecycle, utilizing Google Cloud Dataflow and Dataprep tools for processing and refining data at scale, enabling valuable insights and informed decisionmaking. Harnessing Dataflow and Dataprep, we develop expertise in creating efficient data manipulation
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