July 2018
Intermediate to advanced
596 pages
13h 35m
Japanese
Content preview from Pythonによるデータ分析入門 第2版 ―NumPy、pandasを使ったデータ処理
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8
1
章 はじめに
的なプログラム言語にした重要な立役者です。この本では、
scikit-learn
についてまとまった説明をす
ることはできませんが、いくつかのモデルについて簡単な説明を行い、また、それらがこの本で紹介し
ている他のツールと合わせてどのように使えるのかを説明することにします。
1.3.7
statsmodels
statsmodels
（
http://statsmodels.org
）は 統 計 分 析 用 の パッケージ で、スタンフォード 大 学の
Jonathan Taylor
教授の成果が基になっています。彼は、
R
言語で人気を得ている多くの回帰分析のモ
デルを実装した人です。
Skier Seabold
と
Josef Perktold
は、正式に新しい
statsmodels
プロジェクトを
2010
年に立ち上げ、それ以来、多くの参加者や貢献者が集まるプロジェクトに成長しています。また、
Nathaniel Smith
は、
Patsy
という
ものを開発しました。これは、
statsmodels
のための式やモデル定義
のためのフレームワークで、
R
の
formula
システムに影響を受けたものです。
scikit-learn
と比較して、
statsmodels
は古典的（主に頻度論的）な統計学や計量経済学のアルゴリズ
ムを提供しています。例えば、次のようなサブモジュールが含まれます。
●
回帰モデル：線形回帰、一般化線形モデル、ロバスト線形モデル、混合線形モデル、など
●
分散分析（
ANOVA
）
●
時系列分析：
AR ...
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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.