{
  "id": 346519,
  "title": "NaN Values and Zero Rating",
  "url": "/competitions/goodreads-books-reviews-290312/discussion/346519",
  "author_name": "",
  "post_date": "2022-08-20T01:27:14.008836900Z",
  "votes": 6,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I'm planning to approach this problem with collaborative filtering. But, I'm not sure how to differentiate the NaN Values with Rating 0. How do I handle this?</p>",
  "messages": [
    {
      "id": "1906552",
      "postDate": "08/20/2022 01:27:14",
      "content": "<p>I'm planning to approach this problem with collaborative filtering. But, I'm not sure how to differentiate the NaN Values with Rating 0. How do I handle this?</p>",
      "rawMarkdown": "I'm planning to approach this problem with collaborative filtering. But, I'm not sure how to differentiate the NaN Values with Rating 0. How do I handle this?",
      "votes": null
    },
    {
      "id": "1943261",
      "postDate": "09/17/2022 12:11:57",
      "content": "<p>One way is just to drop the NA values. In this case, it may not be a bad option as the remaining data will still be huge. </p>\n<p>Another way can be to fill the 'daysreadin' feature to be with 1 day and maybe 5 hours. The reason is this column has most of its data as 1 day and some hours only. </p>\n<p>Hope that helps!!</p>",
      "rawMarkdown": "One way is just to drop the NA values. In this case, it may not be a bad option as the remaining data will still be huge. \n\nAnother way can be to fill the 'daysreadin' feature to be with 1 day and maybe 5 hours. The reason is this column has most of its data as 1 day and some hours only. \n\nHope that helps!!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1943261,
      "author_name": "saipradhan",
      "author_url": "",
      "post_date": "09/17/2022 12:11:57",
      "content": "<p>One way is just to drop the NA values. In this case, it may not be a bad option as the remaining data will still be huge. </p>\n<p>Another way can be to fill the 'daysreadin' feature to be with 1 day and maybe 5 hours. The reason is this column has most of its data as 1 day and some hours only. </p>\n<p>Hope that helps!!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1906552": "I'm planning to approach this problem with collaborative filtering. But, I'm not sure how to differentiate the NaN Values with Rating 0. How do I handle this?",
    "1943261": "One way is just to drop the NA values. In this case, it may not be a bad option as the remaining data will still be huge. \n\nAnother way can be to fill the 'daysreadin' feature to be with 1 day and maybe 5 hours. The reason is this column has most of its data as 1 day and some hours only. \n\nHope that helps!!"
  },
  "source": "meta"
}