{
  "id": 82654,
  "title": "Where should i start fom?",
  "url": "/competitions/rsna-pneumonia-detection-challenge/discussion/82654",
  "author_name": "",
  "post_date": "2019-03-03T09:29:20.349135500Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I know its not good qusetion to ask but i want to work on this project and i want to know where should i start from?</p>",
  "messages": [
    {
      "id": "482582",
      "postDate": "03/03/2019 09:29:20",
      "content": "<p>I know its not good qusetion to ask but i want to work on this project and i want to know where should i start from?</p>",
      "rawMarkdown": "I know its not good qusetion to ask but i want to work on this project and i want to know where should i start from?",
      "votes": null
    },
    {
      "id": "482584",
      "postDate": "03/03/2019 09:36:11",
      "content": "<p>a good place to start would be the kernels and the discussions. This was a very difficult competition as the test and train dataset were not very much alike. Most of the gold medalist published a post with their approach in the discussions. They might be too complicated to begin with. Start with the kernels and go to the winners after you understand the data and the problems. </p>",
      "rawMarkdown": "a good place to start would be the kernels and the discussions. This was a very difficult competition as the test and train dataset were not very much alike. Most of the gold medalist published a post with their approach in the discussions. They might be too complicated to begin with. Start with the kernels and go to the winners after you understand the data and the problems.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 482584,
      "author_name": "moshel",
      "author_url": "",
      "post_date": "03/03/2019 09:36:11",
      "content": "<p>a good place to start would be the kernels and the discussions. This was a very difficult competition as the test and train dataset were not very much alike. Most of the gold medalist published a post with their approach in the discussions. They might be too complicated to begin with. Start with the kernels and go to the winners after you understand the data and the problems. </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "482582": "I know its not good qusetion to ask but i want to work on this project and i want to know where should i start from?",
    "482584": "a good place to start would be the kernels and the discussions. This was a very difficult competition as the test and train dataset were not very much alike. Most of the gold medalist published a post with their approach in the discussions. They might be too complicated to begin with. Start with the kernels and go to the winners after you understand the data and the problems."
  },
  "source": "meta"
}