{"description":"Scaling Min-max & clipping \u306f\u4e00\u69d8\u5206\u5e03\u306b\u826f\u3044 Z-score \u306f\u6b63\u898f\u5206\u5e03\u306b\u826f\u3044\u3002 input data \u306b\u3088\u3063\u3066\u306f non-linear \u306a\u5909\u63db\u306e\u65b9\u304c\u9069\u5207\u3002\u4f8b\u3048\u3070 Wikipedia page views\u3002\u3053\u308c\u306f\u6b63\u76f4\u610f\u8b58\u3057\u3066\u306a\u304b\u3063\u305f\u3002 \u3053\u306e\u8996\u70b9\u3067\u5727\u529b\u30b3\u30f3\u30da\u306e\u30c7\u30fc\u30bf\u3067\u3084\u3063\u3066\u307f\u305f\uff0802-01-scaling.ipynb) Categorical \u5165\u529b\u304c array of categorical \u3067\u3042\u308b\u5834\u5408\u306f\u8003\u3048\u305f\u3053\u3068\u3082\u306a\u304b\u3063\u305f\u3002dummy \u3068 one hot encoding \u306e\u9055\u3044\u3092\u7406\u89e3\u3057\u305f\u3002 Design Pattern 1: Hashed Feature Kaggl\u2026","blog_title":"higepon blog","published":"2021-12-11 09:42:55","author_url":"https://blog.hatena.ne.jp/higepon/","width":"100%","provider_url":"https://hatena.blog","type":"rich","blog_url":"https://higepon.hatenablog.com/","title":"Machine Learning Design Patterns","version":"1.0","height":"190","url":"https://higepon.hatenablog.com/entry/2021/12/11/094255","categories":[],"author_name":"higepon","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhigepon.hatenablog.com%2Fentry%2F2021%2F12%2F11%2F094255\" title=\"Machine Learning Design Patterns - higepon blog\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","provider_name":"Hatena Blog","image_url":null}