{
  "id": 315010,
  "title": "Looking help to start!",
  "url": "/competitions/sorghum-id-fgvc-9/discussion/315010",
  "author_name": "",
  "post_date": "2022-03-25T18:46:24.684975600Z",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Hey Everyone, this is my first classification challenge. I'm quite new to this field so looking for some insight from where to start. Any suggestion will be greatly appreciated.</p>\n<p>Thanks!</p>",
  "messages": [
    {
      "id": "1734971",
      "postDate": "03/25/2022 18:46:24",
      "content": "<p>Hey Everyone, this is my first classification challenge. I'm quite new to this field so looking for some insight from where to start. Any suggestion will be greatly appreciated.</p>\n<p>Thanks!</p>",
      "rawMarkdown": "Hey Everyone, this is my first classification challenge. I'm quite new to this field so looking for some insight from where to start. Any suggestion will be greatly appreciated.\n\nThanks!",
      "votes": null
    },
    {
      "id": "1735328",
      "postDate": "03/26/2022 05:54:22",
      "content": "<p>Start with data visualization, data cleaning and data insights. Then design a pre-processing and processing pipeline with all sequential steps. Then proceed to feature engineering and feature selection steps. Finally try out models and elicit results for submission.</p>",
      "rawMarkdown": "Start with data visualization, data cleaning and data insights. Then design a pre-processing and processing pipeline with all sequential steps. Then proceed to feature engineering and feature selection steps. Finally try out models and elicit results for submission.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1735328,
      "author_name": "ravi20076",
      "author_url": "",
      "post_date": "03/26/2022 05:54:22",
      "content": "<p>Start with data visualization, data cleaning and data insights. Then design a pre-processing and processing pipeline with all sequential steps. Then proceed to feature engineering and feature selection steps. Finally try out models and elicit results for submission.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1734971": "Hey Everyone, this is my first classification challenge. I'm quite new to this field so looking for some insight from where to start. Any suggestion will be greatly appreciated.\n\nThanks!",
    "1735328": "Start with data visualization, data cleaning and data insights. Then design a pre-processing and processing pipeline with all sequential steps. Then proceed to feature engineering and feature selection steps. Finally try out models and elicit results for submission."
  },
  "source": "meta"
}