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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430
13
章
Python
におけるモデリングライブラリ入門
結果に示されている推定されたパラメータは、切片が最初にあり、
1
次のラグ、
2
次のラグと続きます。
In [85]: results.params
Out[85]: array([-0.0062, 0.7845, -0.4085, -0.0136, 0.015 , 0.0143])
時系列モデルの詳細と結果の解釈については、この本の範囲を超えます。しかし、
statsmodels
のド
キュメントには豊富な情報が記載されています。
13.4
scikit-learn
入門
scikit-learn
（
http://scikit-learn.org
）は、最も広く使われ、最も信頼されている汎用の
Python
機械学
習ツールの
1
つです。
scikit-learn
には、広範囲にわたる標準的な教師あり学習や教師なし学習があり、
モデル選択や評価の仕組み、データ変形、データの読み込みとモデルの永続化のツールも併せて提供
してい
ます。これらのモデルは、分類やクラスタリング、予測などの一般的なタスクに使えるものです。
世の中には、機械学習や
scikit-learn
や
TensorFlow
などのライブラリを実世界の問題にどのように適
用するのかについて記載された、素晴らしいオンラインドキュメントや出版物が存在しています。この
節では、
scikit-learn
の
API
がどのようなスタイルなのか、簡単に紹介してみることにします。
この本の執筆時点では、
scikit-learn
は
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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.