{
  "id": 358560,
  "title": "Use simple approaches for beginners",
  "url": "/competitions/tabular-playground-series-oct-2022/discussion/358560",
  "author_name": "",
  "post_date": "2022-10-08T13:11:45.654594Z",
  "votes": 6,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hi Kagglers,</p>\n<p>From the public notebooks I've read till now I realized that almost all of them are very complicated and have used methods and approaches difficult to understand with beginners like me. Since learning is the main purpose of these competitions I ask professionals to use simple and straightforward approaches in their public notebooks so that we could learn from them.</p>\n<p>For this reason I'll share my own notebook that I tried to model the issue using least required skills and achieve a score of 0.2<br>\nYou could see my notebook using link below:<br>\n<a href=\"https://www.kaggle.com/code/hosseinbehjat/simple-lgbm-for-beginners-tpsoct2022/notebook\" target=\"_blank\">https://www.kaggle.com/code/hosseinbehjat/simple-lgbm-for-beginners-tpsoct2022/notebook</a></p>",
  "messages": [
    {
      "id": "1978053",
      "postDate": "10/08/2022 13:11:45",
      "content": "<p>Hi Kagglers,</p>\n<p>From the public notebooks I've read till now I realized that almost all of them are very complicated and have used methods and approaches difficult to understand with beginners like me. Since learning is the main purpose of these competitions I ask professionals to use simple and straightforward approaches in their public notebooks so that we could learn from them.</p>\n<p>For this reason I'll share my own notebook that I tried to model the issue using least required skills and achieve a score of 0.2<br>\nYou could see my notebook using link below:<br>\n<a href=\"https://www.kaggle.com/code/hosseinbehjat/simple-lgbm-for-beginners-tpsoct2022/notebook\" target=\"_blank\">https://www.kaggle.com/code/hosseinbehjat/simple-lgbm-for-beginners-tpsoct2022/notebook</a></p>",
      "rawMarkdown": "Hi Kagglers,\n\nFrom the public notebooks I've read till now I realized that almost all of them are very complicated and have used methods and approaches difficult to understand with beginners like me. Since learning is the main purpose of these competitions I ask professionals to use simple and straightforward approaches in their public notebooks so that we could learn from them.\n\nFor this reason I'll share my own notebook that I tried to model the issue using least required skills and achieve a score of 0.2\nYou could see my notebook using link below:\nhttps://www.kaggle.com/code/hosseinbehjat/simple-lgbm-for-beginners-tpsoct2022/notebook",
      "votes": null
    },
    {
      "id": "1980292",
      "postDate": "10/10/2022 04:24:03",
      "content": "<p>Simple approach is way to go, thank you for sharing the view and your work</p>",
      "rawMarkdown": "Simple approach is way to go, thank you for sharing the view and your work",
      "votes": null
    },
    {
      "id": "1992486",
      "postDate": "10/17/2022 17:37:55",
      "content": "<p><a href=\"https://www.kaggle.com/code/aatiffraz/knearestneighbors/notebook\" target=\"_blank\">Here</a>'s another notebook that uses a very simple K-Nearest Neighbors algorithm and achieves a score of 0.2</p>",
      "rawMarkdown": "[Here](https://www.kaggle.com/code/aatiffraz/knearestneighbors/notebook)'s another notebook that uses a very simple K-Nearest Neighbors algorithm and achieves a score of 0.2",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1980292,
      "author_name": "satyaprakashshukl",
      "author_url": "",
      "post_date": "10/10/2022 04:24:03",
      "content": "<p>Simple approach is way to go, thank you for sharing the view and your work</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1992486,
      "author_name": "aatiffraz",
      "author_url": "",
      "post_date": "10/17/2022 17:37:55",
      "content": "<p><a href=\"https://www.kaggle.com/code/aatiffraz/knearestneighbors/notebook\" target=\"_blank\">Here</a>'s another notebook that uses a very simple K-Nearest Neighbors algorithm and achieves a score of 0.2</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1978053": "Hi Kagglers,\n\nFrom the public notebooks I've read till now I realized that almost all of them are very complicated and have used methods and approaches difficult to understand with beginners like me. Since learning is the main purpose of these competitions I ask professionals to use simple and straightforward approaches in their public notebooks so that we could learn from them.\n\nFor this reason I'll share my own notebook that I tried to model the issue using least required skills and achieve a score of 0.2\nYou could see my notebook using link below:\nhttps://www.kaggle.com/code/hosseinbehjat/simple-lgbm-for-beginners-tpsoct2022/notebook",
    "1980292": "Simple approach is way to go, thank you for sharing the view and your work",
    "1992486": "[Here](https://www.kaggle.com/code/aatiffraz/knearestneighbors/notebook)'s another notebook that uses a very simple K-Nearest Neighbors algorithm and achieves a score of 0.2"
  },
  "source": "meta"
}