{
  "id": 75428,
  "title": "Are you really understanding the winners solutions?",
  "url": "/competitions/PLAsTiCC-2018/discussion/75428",
  "author_name": "",
  "post_date": "2018-12-21T14:00:32.228608Z",
  "votes": 5,
  "comment_count": 9,
  "views": 0,
  "content": "<p>Hello,</p>\n\n<p>I spent two days reading the winners solutions but I can't understand the most of their ideas. When it comes to a deep learning approach or complex stacking I can't understand even one word :( . Moreover, there is no code or kernel in order to run it step by step and try to understand the philosophy of the ideas.\nThis is my first featured competition and I have followed many courses of data science and deep learning  through coursera (I started learning in April 2018). \nWhat should I do?</p>\n\n<p>Thank you community </p>",
  "messages": [
    {
      "id": "443365",
      "postDate": "12/21/2018 14:00:32",
      "content": "<p>Hello,</p>\n\n<p>I spent two days reading the winners solutions but I can't understand the most of their ideas. When it comes to a deep learning approach or complex stacking I can't understand even one word :( . Moreover, there is no code or kernel in order to run it step by step and try to understand the philosophy of the ideas.\nThis is my first featured competition and I have followed many courses of data science and deep learning  through coursera (I started learning in April 2018). \nWhat should I do?</p>\n\n<p>Thank you community </p>",
      "rawMarkdown": "Hello,\n\nI spent two days reading the winners solutions but I can't understand the most of their ideas. When it comes to a deep learning approach or complex stacking I can't understand even one word :( . Moreover, there is no code or kernel in order to run it step by step and try to understand the philosophy of the ideas.\nThis is my first featured competition and I have followed many courses of data science and deep learning  through coursera (I started learning in April 2018). \nWhat should I do?\n\nThank you community",
      "votes": null
    },
    {
      "id": "443367",
      "postDate": "12/21/2018 14:05:24",
      "content": "<p>4th and 14th place solutions have very nice code attached. </p>",
      "rawMarkdown": "4th and 14th place solutions have very nice code attached.",
      "votes": null
    },
    {
      "id": "443409",
      "postDate": "12/21/2018 15:17:22",
      "content": "<p>Oh great ! Thank you so much  I didn't pay attention to the links of their codes !\nStill waiting for <a href=\"/kyleboone\">@kyleboone</a> code !</p>",
      "rawMarkdown": "Oh great ! Thank you so much  I didn't pay attention to the links of their codes !\nStill waiting for @kyleboone code !",
      "votes": null
    },
    {
      "id": "443559",
      "postDate": "12/21/2018 21:30:28",
      "content": "<p>You can find the CNN solution <a href=\"https://www.kaggle.com/yuval6967/3rd-place-cnn\">here</a></p>",
      "rawMarkdown": "You can find the CNN solution [here](https://www.kaggle.com/yuval6967/3rd-place-cnn)",
      "votes": null
    },
    {
      "id": "443625",
      "postDate": "12/22/2018 01:18:40",
      "content": "<p>My code is coming, I just need a few hours to clean it up because it got kind of messy in the last couple days. I'm traveling home for the holidays right now, but I'll put everything on GitHub within a few days.</p>",
      "rawMarkdown": "My code is coming, I just need a few hours to clean it up because it got kind of messy in the last couple days. I'm traveling home for the holidays right now, but I'll put everything on GitHub within a few days.",
      "votes": null
    },
    {
      "id": "444622",
      "postDate": "12/24/2018 12:11:48",
      "content": "<p>You can find my code here: <a href=\"https://github.com/jfpuget/Kaggle_PLAsTiCC\">https://github.com/jfpuget/Kaggle_PLAsTiCC</a></p>",
      "rawMarkdown": "You can find my code here: https://github.com/jfpuget/Kaggle_PLAsTiCC",
      "votes": null
    },
    {
      "id": "445182",
      "postDate": "12/25/2018 20:58:45",
      "content": "<p>My code is now available at <a href=\"https://github.com/kboone/plasticc\">https://github.com/kboone/plasticc</a></p>",
      "rawMarkdown": "My code is now available at https://github.com/kboone/plasticc",
      "votes": null
    },
    {
      "id": "445253",
      "postDate": "12/26/2018 03:55:54",
      "content": "<p>My code is here.\n<a href=\"https://github.com/takashioya/plasticc\">https://github.com/takashioya/plasticc</a></p>",
      "rawMarkdown": "My code is here.\nhttps://github.com/takashioya/plasticc",
      "votes": null
    },
    {
      "id": "448117",
      "postDate": "12/31/2018 09:24:53",
      "content": "<p>Really appreciated.</p>",
      "rawMarkdown": "Really appreciated.",
      "votes": null
    },
    {
      "id": "448118",
      "postDate": "12/31/2018 09:25:31",
      "content": "<p>Thanks!!!!!!!!!</p>",
      "rawMarkdown": "Thanks!!!!!!!!!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 443367,
      "author_name": "iprapas",
      "author_url": "",
      "post_date": "12/21/2018 14:05:24",
      "content": "<p>4th and 14th place solutions have very nice code attached. </p>",
      "votes": null,
      "replies": [
        {
          "id": 443409,
          "author_name": "rinnqd",
          "author_url": "",
          "post_date": "12/21/2018 15:17:22",
          "content": "<p>Oh great ! Thank you so much  I didn't pay attention to the links of their codes !\nStill waiting for <a href=\"/kyleboone\">@kyleboone</a> code !</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 443625,
          "author_name": "kyleboone",
          "author_url": "",
          "post_date": "12/22/2018 01:18:40",
          "content": "<p>My code is coming, I just need a few hours to clean it up because it got kind of messy in the last couple days. I'm traveling home for the holidays right now, but I'll put everything on GitHub within a few days.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 443559,
      "author_name": "yuval6967",
      "author_url": "",
      "post_date": "12/21/2018 21:30:28",
      "content": "<p>You can find the CNN solution <a href=\"https://www.kaggle.com/yuval6967/3rd-place-cnn\">here</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 444622,
      "author_name": "cpmpml",
      "author_url": "",
      "post_date": "12/24/2018 12:11:48",
      "content": "<p>You can find my code here: <a href=\"https://github.com/jfpuget/Kaggle_PLAsTiCC\">https://github.com/jfpuget/Kaggle_PLAsTiCC</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 448117,
          "author_name": "longyin2",
          "author_url": "",
          "post_date": "12/31/2018 09:24:53",
          "content": "<p>Really appreciated.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 445182,
      "author_name": "kyleboone",
      "author_url": "",
      "post_date": "12/25/2018 20:58:45",
      "content": "<p>My code is now available at <a href=\"https://github.com/kboone/plasticc\">https://github.com/kboone/plasticc</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 448118,
          "author_name": "longyin2",
          "author_url": "",
          "post_date": "12/31/2018 09:25:31",
          "content": "<p>Thanks!!!!!!!!!</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 445253,
      "author_name": "mamasinkgs",
      "author_url": "",
      "post_date": "12/26/2018 03:55:54",
      "content": "<p>My code is here.\n<a href=\"https://github.com/takashioya/plasticc\">https://github.com/takashioya/plasticc</a></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "443365": "Hello,\n\nI spent two days reading the winners solutions but I can't understand the most of their ideas. When it comes to a deep learning approach or complex stacking I can't understand even one word :( . Moreover, there is no code or kernel in order to run it step by step and try to understand the philosophy of the ideas.\nThis is my first featured competition and I have followed many courses of data science and deep learning  through coursera (I started learning in April 2018). \nWhat should I do?\n\nThank you community",
    "443367": "4th and 14th place solutions have very nice code attached.",
    "443409": "Oh great ! Thank you so much  I didn't pay attention to the links of their codes !\nStill waiting for @kyleboone code !",
    "443559": "You can find the CNN solution [here](https://www.kaggle.com/yuval6967/3rd-place-cnn)",
    "443625": "My code is coming, I just need a few hours to clean it up because it got kind of messy in the last couple days. I'm traveling home for the holidays right now, but I'll put everything on GitHub within a few days.",
    "444622": "You can find my code here: https://github.com/jfpuget/Kaggle_PLAsTiCC",
    "445182": "My code is now available at https://github.com/kboone/plasticc",
    "445253": "My code is here.\nhttps://github.com/takashioya/plasticc",
    "448117": "Really appreciated.",
    "448118": "Thanks!!!!!!!!!"
  },
  "source": "meta"
}