{
  "id": 308229,
  "title": "📌 EDA🔊 + Noise Reduction🐦",
  "url": "/competitions/birdclef-2022/discussion/308229",
  "author_name": "",
  "post_date": "2022-02-17T18:15:13.209442400Z",
  "votes": 16,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hi all,</p>\n<p>In this <a href=\"https://www.kaggle.com/hasanbasriakcay/birdclef22-eda-noise-reduction\" target=\"_blank\">notebook</a>, I did EDA and did noise reduction by using low-pass filters. The noise reduction function prepared well for different usage. You can easily copy &amp; edit this notebook or just the function.</p>\n<p>Kindly upvote if you find it useful 😊</p>",
  "messages": [
    {
      "id": "1694810",
      "postDate": "02/17/2022 18:15:13",
      "content": "<p>Hi all,</p>\n<p>In this <a href=\"https://www.kaggle.com/hasanbasriakcay/birdclef22-eda-noise-reduction\" target=\"_blank\">notebook</a>, I did EDA and did noise reduction by using low-pass filters. The noise reduction function prepared well for different usage. You can easily copy &amp; edit this notebook or just the function.</p>\n<p>Kindly upvote if you find it useful 😊</p>",
      "rawMarkdown": "Hi all,\n\nIn this [notebook](https://www.kaggle.com/hasanbasriakcay/birdclef22-eda-noise-reduction), I did EDA and did noise reduction by using low-pass filters. The noise reduction function prepared well for different usage. You can easily copy & edit this notebook or just the function.\n\nKindly upvote if you find it useful 😊",
      "votes": null
    },
    {
      "id": "1695367",
      "postDate": "02/18/2022 05:23:05",
      "content": "<p>Great work dude<br>\nThanks for sharing it,<br>\nUpvoted👍<br>\nCheck my work too and let me know your feedback😄</p>",
      "rawMarkdown": "Great work dude\nThanks for sharing it,\nUpvoted👍\nCheck my work too and let me know your feedback😄",
      "votes": null
    },
    {
      "id": "1695527",
      "postDate": "02/18/2022 07:42:47",
      "content": "<p>Great work, <a href=\"https://www.kaggle.com/hasanbasriakcay\" target=\"_blank\">@hasanbasriakcay</a> 😄💯! </p>",
      "rawMarkdown": "Great work, @hasanbasriakcay 😄💯!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1695367,
      "author_name": "imnoob",
      "author_url": "",
      "post_date": "02/18/2022 05:23:05",
      "content": "<p>Great work dude<br>\nThanks for sharing it,<br>\nUpvoted👍<br>\nCheck my work too and let me know your feedback😄</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1695527,
      "author_name": "vad13irt",
      "author_url": "",
      "post_date": "02/18/2022 07:42:47",
      "content": "<p>Great work, <a href=\"https://www.kaggle.com/hasanbasriakcay\" target=\"_blank\">@hasanbasriakcay</a> 😄💯! </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1694810": "Hi all,\n\nIn this [notebook](https://www.kaggle.com/hasanbasriakcay/birdclef22-eda-noise-reduction), I did EDA and did noise reduction by using low-pass filters. The noise reduction function prepared well for different usage. You can easily copy & edit this notebook or just the function.\n\nKindly upvote if you find it useful 😊",
    "1695367": "Great work dude\nThanks for sharing it,\nUpvoted👍\nCheck my work too and let me know your feedback😄",
    "1695527": "Great work, @hasanbasriakcay 😄💯!"
  },
  "source": "meta"
}