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基于AWS的数据科学实践
book

基于AWS的数据科学实践

by Chris Fregly, Antje Barth
September 2022
Intermediate to advanced
549 pages
11h 27m
Chinese
China Electric Power Press Ltd.
Content preview from 基于AWS的数据科学实践
探索数据集
|
147
5.2
使用
SageMaker Studio
可视化数据湖
在这个小节,我们将开始使用
Amazon SageMaker Studio IDE
,其为我们提供托管的
Jupyter
笔记本。我们会使用第
4
章引入的
Amazon
客户评价数据集。以下是对该数
据集的概览:
marketplace
两字母的国家代码(此例中为“
US
”)。
customer_id
随机标识符,用于聚合单一作者撰写的所有评价。
review_id
评价的唯一标识符。
product_id
Amazon
标准标识编码(
ASIN
)。
product_parent
该
ASIN
的父级
ASIN
。拥有不同颜色或格式的相同产品的多个
ASIN
可归于一
个单独的父级
ASIN
。
product_title
产品标题描述。
product_category
粗粒度的产品分类,用于对评价进行分组。
star_rating
评价的
1~5
星评分,
1
为最差,
5
为最佳。
helpful_votes
认为该评价有帮助的投票数量。
total_votes
该评价收到的投票总数。
vine
该评价是否加入了
Vine
计划?
148
|
第
5
章
verified_purchase
该评价是否来自已验证的购买?
review_headline
该评价本身的标题。
review_body
该评价的文本内容。 ...
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Publisher Resources

ISBN: 9787519869663