May 2020
Intermediate to advanced
456 pages
9h 13m
Japanese
Content preview from ゼロからはじめるデータサイエンス 第2版 ―Pythonで学ぶ基本と実践
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27.3
既存のライブラリを活用する
■
409
スを実現しています。
Python
を使ったデータのフォーマット変換、分離、結合などの操作を行うのなら、
pandas
は計り知れないほどの利便性をもたらすでしょう。
27.3.3
scikit-learn
Python
を使って機械学習を行うのなら、最もよく使われる人気の高いライブラリが
scikit-learn
（
https://scikit-learn.org
）です。本書で取り上げた機能以外にも、数多くの
モデルが実装されています（
https://scikit-learn.org/stable/auto_examples/
）。 実 際 の
問題を解くために決定木をゼロから構築することは普通ありません。力仕事はすべて
scikit-learn
に任せます。現実の問題を解くために、最適化アルゴリズムを作り込むこ
とも普通はありません。
scikit-learn
の提供する実績のある優れたアルゴリズムに任せ
るからです。
scikit-learn
のドキュメント（
https://scikit-learn.org/stable/auto_examples/
）に は 、 使
い方の例（そして機械学習で何ができるか）が数多く掲載されています。
27.3.4
可視化
本書で作成したグラフは整っていて機能的でしたが、見た目に優れていたわけでは
ありません（そして対話的でもありませんでした）。可視化についてより深く追求した
いのなら、選択肢は
2
つあります。
1
つ目は、本書で少しだけ取り
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.