{
  "id": 130681,
  "title": "FiveThirtyEight rankings",
  "url": "/competitions/google-cloud-ncaa-march-madness-2020-division-1-mens-tournament/discussion/130681",
  "author_name": "raddar",
  "post_date": "2020-02-15T17:54:15.444000",
  "votes": 49,
  "comment_count": 11,
  "views": 0,
  "content": "<p>FiveThirtyEight is a great site to watch during NCAA tournament. And it also has its own rankings! Many top teams last year saw them to be useful, therefore I collected all available rankings in kaggle format:</p>\n\n<p>Men : <a href=\"https://www.kaggle.com/raddar/ncaa-men-538-team-ratings\">https://www.kaggle.com/raddar/ncaa-men-538-team-ratings</a>\nWomen: <a href=\"https://www.kaggle.com/raddar/ncaa-women-538-team-ratings\">https://www.kaggle.com/raddar/ncaa-women-538-team-ratings</a></p>",
  "messages": [
    {
      "id": 746901,
      "postDate": "2020-02-15T17:54:15.443Z",
      "content": "<p>FiveThirtyEight is a great site to watch during NCAA tournament. And it also has its own rankings! Many top teams last year saw them to be useful, therefore I collected all available rankings in kaggle format:</p>\n\n<p>Men : <a href=\"https://www.kaggle.com/raddar/ncaa-men-538-team-ratings\">https://www.kaggle.com/raddar/ncaa-men-538-team-ratings</a>\nWomen: <a href=\"https://www.kaggle.com/raddar/ncaa-women-538-team-ratings\">https://www.kaggle.com/raddar/ncaa-women-538-team-ratings</a></p>",
      "rawMarkdown": "FiveThirtyEight is a great site to watch during NCAA tournament. And it also has its own rankings! Many top teams last year saw them to be useful, therefore I collected all available rankings in kaggle format:\n\nMen : https://www.kaggle.com/raddar/ncaa-men-538-team-ratings\nWomen: https://www.kaggle.com/raddar/ncaa-women-538-team-ratings",
      "votes": 48
    },
    {
      "id": 757814,
      "postDate": "2020-02-27T05:59:11.927Z",
      "content": "<p>Makes sense. Thanks <a href=\"/raddar\">@raddar</a> for the effort !! </p>",
      "rawMarkdown": "Makes sense. Thanks @raddar for the effort !! ",
      "votes": 1
    },
    {
      "id": 756537,
      "postDate": "2020-02-25T20:16:47.137Z",
      "content": "<p>Nate Silver thought Kamala was a shoe-in for the Democratic nomination - so take 538's results with a grain of salt ;)</p>",
      "rawMarkdown": "Nate Silver thought Kamala was a shoe-in for the Democratic nomination - so take 538's results with a grain of salt ;)",
      "votes": 1
    },
    {
      "id": 762578,
      "postDate": "2020-03-03T16:10:43.083Z",
      "content": "<p>Do you perhaps know when ratings for 2020 season will be available?</p>",
      "rawMarkdown": "Do you perhaps know when ratings for 2020 season will be available?",
      "replies": [
        {
          "id": 762606,
          "postDate": "2020-03-03T16:31:33.200Z",
          "content": "<p>I will publish as soon as they are available. It usually is available when Stage2 is announced</p>",
          "rawMarkdown": "I will publish as soon as they are available. It usually is available when Stage2 is announced",
          "votes": 2
        }
      ]
    },
    {
      "id": 753339,
      "postDate": "2020-02-22T03:48:38.750Z",
      "content": "<p>Wonderful! Upvoted for your datasets too:)</p>",
      "rawMarkdown": "Wonderful! Upvoted for your datasets too:)"
    },
    {
      "id": 751755,
      "postDate": "2020-02-20T13:31:06.840Z",
      "content": "<p>Good job</p>",
      "rawMarkdown": "Good job"
    },
    {
      "id": 749930,
      "postDate": "2020-02-19T02:29:13.583Z",
      "content": "<p>Any idea how to deal with seasons before 2016 when using this data? <a href=\"/raddar\">@raddar</a> </p>",
      "rawMarkdown": "Any idea how to deal with seasons before 2016 when using this data? @raddar ",
      "replies": [
        {
          "id": 750442,
          "postDate": "2020-02-19T11:33:34.050Z",
          "content": "<p>My approach would be to have 2 models - one with all data, and other using data from 2016. Then merge those models</p>",
          "rawMarkdown": "My approach would be to have 2 models - one with all data, and other using data from 2016. Then merge those models",
          "votes": 7
        },
        {
          "id": 769139,
          "postDate": "2020-03-11T15:18:28.087Z",
          "content": "<p>But isn't using just data from 2016 risky? There are only 63*4*2 samples.</p>",
          "rawMarkdown": "But isn't using just data from 2016 risky? There are only 63*4*2 samples."
        }
      ]
    },
    {
      "id": 761427,
      "postDate": "2020-03-02T13:59:24.867Z",
      "content": "<p>Thank you!!</p>",
      "rawMarkdown": "Thank you!!"
    },
    {
      "id": 763946,
      "postDate": "2020-03-05T02:23:15.287Z",
      "content": "<p>Nice, Thanks.</p>",
      "rawMarkdown": "Nice, Thanks.",
      "isDeleted": true
    }
  ],
  "comments": [
    {
      "id": 757814,
      "author_name": "Siddharth Chillale",
      "author_url": "",
      "post_date": "2020-02-27T05:59:11.927000",
      "content": "<p>Makes sense. Thanks <a href=\"/raddar\">@raddar</a> for the effort !! </p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 756537,
      "author_name": "Scirpus",
      "author_url": "",
      "post_date": "2020-02-25T20:16:47.137000",
      "content": "<p>Nate Silver thought Kamala was a shoe-in for the Democratic nomination - so take 538's results with a grain of salt ;)</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 762578,
      "author_name": "Rok Novosel",
      "author_url": "",
      "post_date": "2020-03-03T16:10:43.083000",
      "content": "<p>Do you perhaps know when ratings for 2020 season will be available?</p>",
      "votes": 0,
      "replies": [
        {
          "id": 762606,
          "author_name": "raddar",
          "author_url": "",
          "post_date": "2020-03-03T16:31:33.200000",
          "content": "<p>I will publish as soon as they are available. It usually is available when Stage2 is announced</p>",
          "votes": 2,
          "replies": []
        }
      ]
    },
    {
      "id": 753339,
      "author_name": "katsu1110",
      "author_url": "",
      "post_date": "2020-02-22T03:48:38.750000",
      "content": "<p>Wonderful! Upvoted for your datasets too:)</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 751755,
      "author_name": "Navdeep",
      "author_url": "",
      "post_date": "2020-02-20T13:31:06.840000",
      "content": "<p>Good job</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 749930,
      "author_name": "Shahules",
      "author_url": "",
      "post_date": "2020-02-19T02:29:13.583000",
      "content": "<p>Any idea how to deal with seasons before 2016 when using this data? <a href=\"/raddar\">@raddar</a> </p>",
      "votes": 0,
      "replies": [
        {
          "id": 750442,
          "author_name": "raddar",
          "author_url": "",
          "post_date": "2020-02-19T11:33:34.050000",
          "content": "<p>My approach would be to have 2 models - one with all data, and other using data from 2016. Then merge those models</p>",
          "votes": 7,
          "replies": []
        },
        {
          "id": 769139,
          "author_name": "Kumar Shubham",
          "author_url": "",
          "post_date": "2020-03-11T15:18:28.087000",
          "content": "<p>But isn't using just data from 2016 risky? There are only 63*4*2 samples.</p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 761427,
      "author_name": "Hiroaki-K4",
      "author_url": "",
      "post_date": "2020-03-02T13:59:24.867000",
      "content": "<p>Thank you!!</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 763946,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-03-05T02:23:15.287000",
      "content": "<p>Nice, Thanks.</p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "746901": "FiveThirtyEight is a great site to watch during NCAA tournament. And it also has its own rankings! Many top teams last year saw them to be useful, therefore I collected all available rankings in kaggle format:\n\nMen : https://www.kaggle.com/raddar/ncaa-men-538-team-ratings\nWomen: https://www.kaggle.com/raddar/ncaa-women-538-team-ratings",
    "757814": "Makes sense. Thanks @raddar for the effort !! ",
    "756537": "Nate Silver thought Kamala was a shoe-in for the Democratic nomination - so take 538's results with a grain of salt ;)",
    "762578": "Do you perhaps know when ratings for 2020 season will be available?",
    "753339": "Wonderful! Upvoted for your datasets too:)",
    "751755": "Good job",
    "749930": "Any idea how to deal with seasons before 2016 when using this data? @raddar ",
    "761427": "Thank you!!",
    "763946": "Nice, Thanks."
  }
}