{
  "id": 336143,
  "title": "Feature engineering ideas - Blanket approach",
  "url": "/competitions/amex-default-prediction/discussion/336143",
  "author_name": "Lucas Morin",
  "post_date": "2022-07-09T15:16:40.704000",
  "votes": 19,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Looking back at past Time Series competitions (Optiver / Google Brain) I tought it would be a good idea to share a collection of aggregations functions that were usefull for those.  The notebook is available here: <a href=\"https://www.kaggle.com/code/lucasmorin/amex-feature-engineering-2-aggreg-functions\" target=\"_blank\">https://www.kaggle.com/code/lucasmorin/amex-feature-engineering-2-aggreg-functions</a></p>",
  "messages": [
    {
      "id": 1849492,
      "postDate": "2022-07-09T15:16:40.703Z",
      "content": "<p>Looking back at past Time Series competitions (Optiver / Google Brain) I tought it would be a good idea to share a collection of aggregations functions that were usefull for those.  The notebook is available here: <a href=\"https://www.kaggle.com/code/lucasmorin/amex-feature-engineering-2-aggreg-functions\" target=\"_blank\">https://www.kaggle.com/code/lucasmorin/amex-feature-engineering-2-aggreg-functions</a></p>",
      "rawMarkdown": "Looking back at past Time Series competitions (Optiver / Google Brain) I tought it would be a good idea to share a collection of aggregations functions that were usefull for those.  The notebook is available here: https://www.kaggle.com/code/lucasmorin/amex-feature-engineering-2-aggreg-functions",
      "votes": 19
    },
    {
      "id": 1849600,
      "postDate": "2022-07-09T16:51:48.087Z",
      "rawMarkdown": "",
      "isDeleted": true
    },
    {
      "id": 1850206,
      "postDate": "2022-07-10T07:42:24.930Z",
      "content": "<p>Thanks for sharing! </p>",
      "rawMarkdown": "Thanks for sharing! "
    }
  ],
  "comments": [
    {
      "id": 1849600,
      "author_name": "",
      "author_url": "",
      "post_date": "2022-07-09T16:51:48.087000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 1850206,
      "author_name": "1110Ra",
      "author_url": "",
      "post_date": "2022-07-10T07:42:24.930000",
      "content": "<p>Thanks for sharing! </p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1849492": "Looking back at past Time Series competitions (Optiver / Google Brain) I tought it would be a good idea to share a collection of aggregations functions that were usefull for those.  The notebook is available here: https://www.kaggle.com/code/lucasmorin/amex-feature-engineering-2-aggreg-functions",
    "1849600": "",
    "1850206": "Thanks for sharing! "
  }
}