April 2021
Intermediate to advanced
352 pages
4h 32m
Japanese
Content preview from 仕事ではじめる機械学習 第2版
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9章Kickstarterの分析、機械学習を使わないという選択肢
本章では、実際にデータ分析を行いながら、データ分析を進めていく際の思考と、その結果どのようなレポートが出てくるのか、という過程を実際にお見せします。
本章では、Kickstarterをスクレイピングして得たデータを元に、Excelを活用したデータ分析、上司に提出する用のレポート作成までをひと通り実務に即した形で体験してみるものです。
この分析は筆者がサイドワークで携わっていたプロジェクトにおいて、Kickstarterでの資金調達を検討した際に実際に行ったものです。 結局、Kickstarterでの資金調達は実現しませんでした。しかし、Kickstarterの分析でいくつか面白い知見が得られたので、その内容を踏まえて紹介します。
本章で利用したコードはhttps://github.com/oreilly-japan/ml-at-work/tree/master/chap08に置いてあります。合わせてごらんください。
9.1 KickstarterのAPIを調査する
はじめにKickstarterのAPIについて調べてみましょう。まず 「kickstarter api」で検索してみると、Does Kickstarter have a public API? - Stack Overflow1という記事が見つかります。
どうやら、Kickstarterの検索ページのURLに.jsonを指定すると、そのままJSON形式でデータが返ってくるという非公開APIがあるようです。今回はこれを利用させてもらいましょう。 ...
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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.