{
  "id": 324181,
  "title": "Thank you for helping me learn LGBMRanker models",
  "url": "/competitions/h-and-m-personalized-fashion-recommendations/discussion/324181",
  "author_name": "",
  "post_date": "2022-05-10T13:01:27.507968400Z",
  "votes": 5,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I joined this competition fairly late and with no previous experience on Rankers. After understanding the basics of the competition, I set my own initial goal of reaching 0,01 LB starting from as low as 0,0030. I studied Radek's solution, went through Pawel's and many other top ranked suggestions and managed to improve my model to a good score. I also learnt some useful optimization tricks and was able to setup a workbook able to run entirely on Kaggle.</p>\n<p>I have found so many useful comments and resources shared in the Kaggle community discussion and was very surprised to see a good positive spirit in this competition. I am very thankful for this, it reminded me of my early times in learning the basics of data science here. </p>\n<p>I hope to join future competitions with the same spirit.<br>\nThanks once again,<br>\nLorenzo</p>",
  "messages": [
    {
      "id": "1783527",
      "postDate": "05/10/2022 13:01:27",
      "content": "<p>I joined this competition fairly late and with no previous experience on Rankers. After understanding the basics of the competition, I set my own initial goal of reaching 0,01 LB starting from as low as 0,0030. I studied Radek's solution, went through Pawel's and many other top ranked suggestions and managed to improve my model to a good score. I also learnt some useful optimization tricks and was able to setup a workbook able to run entirely on Kaggle.</p>\n<p>I have found so many useful comments and resources shared in the Kaggle community discussion and was very surprised to see a good positive spirit in this competition. I am very thankful for this, it reminded me of my early times in learning the basics of data science here. </p>\n<p>I hope to join future competitions with the same spirit.<br>\nThanks once again,<br>\nLorenzo</p>",
      "rawMarkdown": "I joined this competition fairly late and with no previous experience on Rankers. After understanding the basics of the competition, I set my own initial goal of reaching 0,01 LB starting from as low as 0,0030. I studied Radek's solution, went through Pawel's and many other top ranked suggestions and managed to improve my model to a good score. I also learnt some useful optimization tricks and was able to setup a workbook able to run entirely on Kaggle.\n\nI have found so many useful comments and resources shared in the Kaggle community discussion and was very surprised to see a good positive spirit in this competition. I am very thankful for this, it reminded me of my early times in learning the basics of data science here. \n\nI hope to join future competitions with the same spirit.\nThanks once again,\nLorenzo",
      "votes": null
    },
    {
      "id": "1784091",
      "postDate": "05/10/2022 23:37:53",
      "content": "<p>Thank you so much for sharing your story and journey with us, Lorenzo! It's amazing to see what we can all accomplish when we work together and help each other out. We're all rooting for you in future competitions!</p>",
      "rawMarkdown": "Thank you so much for sharing your story and journey with us, Lorenzo! It's amazing to see what we can all accomplish when we work together and help each other out. We're all rooting for you in future competitions!",
      "votes": null
    },
    {
      "id": "1784440",
      "postDate": "05/11/2022 07:24:00",
      "content": "<p>Thank you for your kind comment</p>",
      "rawMarkdown": "Thank you for your kind comment",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1784091,
      "author_name": "",
      "author_url": "",
      "post_date": "05/10/2022 23:37:53",
      "content": "<p>Thank you so much for sharing your story and journey with us, Lorenzo! It's amazing to see what we can all accomplish when we work together and help each other out. We're all rooting for you in future competitions!</p>",
      "votes": null,
      "replies": [
        {
          "id": 1784440,
          "author_name": "lorenzopagliaro01",
          "author_url": "",
          "post_date": "05/11/2022 07:24:00",
          "content": "<p>Thank you for your kind comment</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1783527": "I joined this competition fairly late and with no previous experience on Rankers. After understanding the basics of the competition, I set my own initial goal of reaching 0,01 LB starting from as low as 0,0030. I studied Radek's solution, went through Pawel's and many other top ranked suggestions and managed to improve my model to a good score. I also learnt some useful optimization tricks and was able to setup a workbook able to run entirely on Kaggle.\n\nI have found so many useful comments and resources shared in the Kaggle community discussion and was very surprised to see a good positive spirit in this competition. I am very thankful for this, it reminded me of my early times in learning the basics of data science here. \n\nI hope to join future competitions with the same spirit.\nThanks once again,\nLorenzo",
    "1784091": "Thank you so much for sharing your story and journey with us, Lorenzo! It's amazing to see what we can all accomplish when we work together and help each other out. We're all rooting for you in future competitions!",
    "1784440": "Thank you for your kind comment"
  },
  "source": "meta"
}