{
  "id": 147499,
  "title": "My notebook - Predicting who would have played in the 2020 Tournament",
  "url": "/competitions/march-madness-analytics-2020/discussion/147499",
  "author_name": "",
  "post_date": "2020-04-30T20:44:26.617171400Z",
  "votes": 2,
  "comment_count": 1,
  "views": 0,
  "content": "<p>As everyone wraps up their submissions, I just wanted to quickly explain my notebook as there are probably some NCAA basketball fans here that might find it interesting. </p>\n\n<p>I decided to predict teams that would have been selected and the seed they would have been assigned had the season and tournament not cancelled. If you have a favorite team and you want to know if they would have made it, and their seed if they did, you can see what my model's say.  </p>\n\n<p>The main difference between my results and those from the major sporting outlets is that you can see how accurately mine has performed in the past. </p>\n\n<p><a href=\"https://www.kaggle.com/btesch/ncaa-at-large-selection-and-seeding-automation\">https://www.kaggle.com/btesch/ncaa-at-large-selection-and-seeding-automation</a></p>",
  "messages": [
    {
      "id": "828208",
      "postDate": "04/30/2020 20:44:26",
      "content": "<p>As everyone wraps up their submissions, I just wanted to quickly explain my notebook as there are probably some NCAA basketball fans here that might find it interesting. </p>\n\n<p>I decided to predict teams that would have been selected and the seed they would have been assigned had the season and tournament not cancelled. If you have a favorite team and you want to know if they would have made it, and their seed if they did, you can see what my model's say.  </p>\n\n<p>The main difference between my results and those from the major sporting outlets is that you can see how accurately mine has performed in the past. </p>\n\n<p><a href=\"https://www.kaggle.com/btesch/ncaa-at-large-selection-and-seeding-automation\">https://www.kaggle.com/btesch/ncaa-at-large-selection-and-seeding-automation</a></p>",
      "rawMarkdown": "As everyone wraps up their submissions, I just wanted to quickly explain my notebook as there are probably some NCAA basketball fans here that might find it interesting. \n\nI decided to predict teams that would have been selected and the seed they would have been assigned had the season and tournament not cancelled. If you have a favorite team and you want to know if they would have made it, and their seed if they did, you can see what my model's say.  \n\nThe main difference between my results and those from the major sporting outlets is that you can see how accurately mine has performed in the past. \n\nhttps://www.kaggle.com/btesch/ncaa-at-large-selection-and-seeding-automation",
      "votes": null
    },
    {
      "id": "828238",
      "postDate": "04/30/2020 21:01:33",
      "content": "<p>Checked your Notebook and upvoted it. Good one.</p>",
      "rawMarkdown": "Checked your Notebook and upvoted it. Good one.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 828238,
      "author_name": "binaicrai",
      "author_url": "",
      "post_date": "04/30/2020 21:01:33",
      "content": "<p>Checked your Notebook and upvoted it. Good one.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "828208": "As everyone wraps up their submissions, I just wanted to quickly explain my notebook as there are probably some NCAA basketball fans here that might find it interesting. \n\nI decided to predict teams that would have been selected and the seed they would have been assigned had the season and tournament not cancelled. If you have a favorite team and you want to know if they would have made it, and their seed if they did, you can see what my model's say.  \n\nThe main difference between my results and those from the major sporting outlets is that you can see how accurately mine has performed in the past. \n\nhttps://www.kaggle.com/btesch/ncaa-at-large-selection-and-seeding-automation",
    "828238": "Checked your Notebook and upvoted it. Good one."
  },
  "source": "meta"
}