{
  "id": 16199,
  "title": "Team up?",
  "url": "/competitions/dato-native/discussion/16199",
  "author_name": "Chonglin Sun",
  "post_date": "2015-08-29T10:02:02.427000",
  "votes": 0,
  "comment_count": 0,
  "views": 352,
  "content": "<p>Hello everyone,</p>\n\n<p>I'd like to find one person or two to form a team to fight for this contest. I mainly use python and cpp,  and master off-the-shelf tools including sklearn, xgboost, vw, keras, caffe, etc. Anyone is welcome if you think you can gain some insights into the data and it would be better if you have already achieved above 0.9 AUC score on the leaderbord.</p>\n\n<p>I'm sure we will learn a lot from each other, and we may become long-term teammates if possible. </p>\n\n<p>Best,</p>\n\n<p>Eric </p>",
  "messages": [
    {
      "id": 90837,
      "postDate": "2015-08-29T10:02:02.427Z",
      "content": "<p>Hello everyone,</p>\n\n<p>I'd like to find one person or two to form a team to fight for this contest. I mainly use python and cpp,  and master off-the-shelf tools including sklearn, xgboost, vw, keras, caffe, etc. Anyone is welcome if you think you can gain some insights into the data and it would be better if you have already achieved above 0.9 AUC score on the leaderbord.</p>\n\n<p>I'm sure we will learn a lot from each other, and we may become long-term teammates if possible. </p>\n\n<p>Best,</p>\n\n<p>Eric </p>",
      "rawMarkdown": "Hello everyone,\r\n\r\nI'd like to find one person or two to form a team to fight for this contest. I mainly use python and cpp,  and master off-the-shelf tools including sklearn, xgboost, vw, keras, caffe, etc. Anyone is welcome if you think you can gain some insights into the data and it would be better if you have already achieved above 0.9 AUC score on the leaderbord.\r\n\r\nI'm sure we will learn a lot from each other, and we may become long-term teammates if possible. \r\n\r\nBest,\r\n\r\nEric "
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "90837": "Hello everyone,\r\n\r\nI'd like to find one person or two to form a team to fight for this contest. I mainly use python and cpp,  and master off-the-shelf tools including sklearn, xgboost, vw, keras, caffe, etc. Anyone is welcome if you think you can gain some insights into the data and it would be better if you have already achieved above 0.9 AUC score on the leaderbord.\r\n\r\nI'm sure we will learn a lot from each other, and we may become long-term teammates if possible. \r\n\r\nBest,\r\n\r\nEric "
  }
}