{
  "id": 42948,
  "title": "MA for each day - LB 0.537",
  "url": "/competitions/favorita-grocery-sales-forecasting/discussion/42948",
  "author_name": "",
  "post_date": "2017-11-07T16:42:00.022551200Z",
  "votes": 8,
  "comment_count": 1,
  "views": 0,
  "content": "<p><a href=\"https://www.kaggle.com/tarobxl/ma-for-each-day-lb-0-537/\">https://www.kaggle.com/tarobxl/ma-for-each-day-lb-0-537/</a></p>\n\n<p>The idea is to adjust the sales for each day of week.</p>\n\n<p>Thanks to Paulo Pinto (<a href=\"https://www.kaggle.com/paulorzp/log-means-and-medians-to-predict-new-itens-0-546/code\">https://www.kaggle.com/paulorzp/log-means-and-medians-to-predict-new-itens-0-546/code</a>)</p>",
  "messages": [
    {
      "id": "240920",
      "postDate": "11/07/2017 16:42:00",
      "content": "<p><a href=\"https://www.kaggle.com/tarobxl/ma-for-each-day-lb-0-537/\">https://www.kaggle.com/tarobxl/ma-for-each-day-lb-0-537/</a></p>\n\n<p>The idea is to adjust the sales for each day of week.</p>\n\n<p>Thanks to Paulo Pinto (<a href=\"https://www.kaggle.com/paulorzp/log-means-and-medians-to-predict-new-itens-0-546/code\">https://www.kaggle.com/paulorzp/log-means-and-medians-to-predict-new-itens-0-546/code</a>)</p>",
      "rawMarkdown": "https://www.kaggle.com/tarobxl/ma-for-each-day-lb-0-537/\n\nThe idea is to adjust the sales for each day of week.\n\nThanks to Paulo Pinto (https://www.kaggle.com/paulorzp/log-means-and-medians-to-predict-new-itens-0-546/code)",
      "votes": null
    },
    {
      "id": "251965",
      "postDate": "12/02/2017 01:13:46",
      "content": "<p>Thanks for citation !</p>",
      "rawMarkdown": "Thanks for citation !",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 251965,
      "author_name": "paulorzp",
      "author_url": "",
      "post_date": "12/02/2017 01:13:46",
      "content": "<p>Thanks for citation !</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "240920": "https://www.kaggle.com/tarobxl/ma-for-each-day-lb-0-537/\n\nThe idea is to adjust the sales for each day of week.\n\nThanks to Paulo Pinto (https://www.kaggle.com/paulorzp/log-means-and-medians-to-predict-new-itens-0-546/code)",
    "251965": "Thanks for citation !"
  },
  "source": "meta"
}