{
  "id": 79827,
  "title": "The data demystified!",
  "url": "/competitions/elo-merchant-category-recommendation/discussion/79827",
  "author_name": "",
  "post_date": "2019-02-07T21:15:11.291976700Z",
  "votes": 52,
  "comment_count": 3,
  "views": 0,
  "content": "<p>I like working with puzzles and every time I see anonymous features it's a puzzle for me. This time I'm going to share some insights I found already:</p>\n\n<p><a href=\"https://www.kaggle.com/raddar/towards-de-anonymizing-the-data-some-insights\">https://www.kaggle.com/raddar/towards-de-anonymizing-the-data-some-insights</a></p>\n\n<p>I do this in hope that someone who have worked with loyalty scoring would help to solve the puzzle completely :)</p>",
  "messages": [
    {
      "id": "467862",
      "postDate": "02/07/2019 21:15:11",
      "content": "<p>I like working with puzzles and every time I see anonymous features it's a puzzle for me. This time I'm going to share some insights I found already:</p>\n\n<p><a href=\"https://www.kaggle.com/raddar/towards-de-anonymizing-the-data-some-insights\">https://www.kaggle.com/raddar/towards-de-anonymizing-the-data-some-insights</a></p>\n\n<p>I do this in hope that someone who have worked with loyalty scoring would help to solve the puzzle completely :)</p>",
      "rawMarkdown": "I like working with puzzles and every time I see anonymous features it's a puzzle for me. This time I'm going to share some insights I found already:\n\nhttps://www.kaggle.com/raddar/towards-de-anonymizing-the-data-some-insights\n\nI do this in hope that someone who have worked with loyalty scoring would help to solve the puzzle completely :)",
      "votes": null
    },
    {
      "id": "467937",
      "postDate": "02/08/2019 02:04:10",
      "content": "<p>Wow.... I am simply astonished. <br>\nI put in a day or two into wolfram to figure out what you have, but with no success.\nHow the hell did you come up with those numbers like 0.00150265118?</p>",
      "rawMarkdown": "Wow.... I am simply astonished.  \nI put in a day or two into wolfram to figure out what you have, but with no success.\nHow the hell did you come up with those numbers like 0.00150265118?",
      "votes": null
    },
    {
      "id": "468071",
      "postDate": "02/08/2019 08:34:32",
      "content": "<p>Well done, sir!</p>",
      "rawMarkdown": "Well done, sir!",
      "votes": null
    },
    {
      "id": "468092",
      "postDate": "02/08/2019 09:26:28",
      "content": "<p><em>magic</em></p>\n\n<p>but in fact just simple optimization procedure to maximize number of integers in the transformed distribution</p>",
      "rawMarkdown": "*magic*\n\nbut in fact just simple optimization procedure to maximize number of integers in the transformed distribution",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 467937,
      "author_name": "pocketsuteado",
      "author_url": "",
      "post_date": "02/08/2019 02:04:10",
      "content": "<p>Wow.... I am simply astonished. <br>\nI put in a day or two into wolfram to figure out what you have, but with no success.\nHow the hell did you come up with those numbers like 0.00150265118?</p>",
      "votes": null,
      "replies": [
        {
          "id": 468092,
          "author_name": "raddar",
          "author_url": "",
          "post_date": "02/08/2019 09:26:28",
          "content": "<p><em>magic</em></p>\n\n<p>but in fact just simple optimization procedure to maximize number of integers in the transformed distribution</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 468071,
      "author_name": "",
      "author_url": "",
      "post_date": "02/08/2019 08:34:32",
      "content": "<p>Well done, sir!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "467862": "I like working with puzzles and every time I see anonymous features it's a puzzle for me. This time I'm going to share some insights I found already:\n\nhttps://www.kaggle.com/raddar/towards-de-anonymizing-the-data-some-insights\n\nI do this in hope that someone who have worked with loyalty scoring would help to solve the puzzle completely :)",
    "467937": "Wow.... I am simply astonished.  \nI put in a day or two into wolfram to figure out what you have, but with no success.\nHow the hell did you come up with those numbers like 0.00150265118?",
    "468071": "Well done, sir!",
    "468092": "*magic*\n\nbut in fact just simple optimization procedure to maximize number of integers in the transformed distribution"
  },
  "source": "meta"
}