{
  "id": 609487,
  "title": "Help the Beginner",
  "url": "/competitions/MABe-mouse-behavior-detection/discussion/609487",
  "author_name": "",
  "post_date": "2025-09-27T04:46:27.040980200Z",
  "votes": 5,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I am completely new to Kaggle competitions and to data science in general. I don’t have prior work experience in this field, and I am currently unemployed, but I am very eager to learn and participate.</p>\n<p>I recently came across this competition and found the idea of analyzing behaviors—whether of animals or other species—really fascinating. I would love to get involved, work with the dataset, and gain some practical knowledge.</p>\n<p>At the moment, my skills are limited to basic tasks such as exploring data and doing simple EDA. However, I’m not sure how to move forward beyond that. Could anyone guide me on how a beginner should approach this competition? For example:</p>\n<p>How should I start analyzing the dataset?</p>\n<p>What kind of models or approaches are suitable for beginners?</p>\n<p>Are there resources or starter notebooks you would recommend?</p>",
  "messages": [
    {
      "id": "3294906",
      "postDate": "09/27/2025 04:46:27",
      "content": "<p>I am completely new to Kaggle competitions and to data science in general. I don’t have prior work experience in this field, and I am currently unemployed, but I am very eager to learn and participate.</p>\n<p>I recently came across this competition and found the idea of analyzing behaviors—whether of animals or other species—really fascinating. I would love to get involved, work with the dataset, and gain some practical knowledge.</p>\n<p>At the moment, my skills are limited to basic tasks such as exploring data and doing simple EDA. However, I’m not sure how to move forward beyond that. Could anyone guide me on how a beginner should approach this competition? For example:</p>\n<p>How should I start analyzing the dataset?</p>\n<p>What kind of models or approaches are suitable for beginners?</p>\n<p>Are there resources or starter notebooks you would recommend?</p>",
      "rawMarkdown": "I am completely new to Kaggle competitions and to data science in general. I don’t have prior work experience in this field, and I am currently unemployed, but I am very eager to learn and participate.\n\nI recently came across this competition and found the idea of analyzing behaviors—whether of animals or other species—really fascinating. I would love to get involved, work with the dataset, and gain some practical knowledge.\n\nAt the moment, my skills are limited to basic tasks such as exploring data and doing simple EDA. However, I’m not sure how to move forward beyond that. Could anyone guide me on how a beginner should approach this competition? For example:\n\nHow should I start analyzing the dataset?\n\nWhat kind of models or approaches are suitable for beginners?\n\nAre there resources or starter notebooks you would recommend?",
      "votes": null
    },
    {
      "id": "3300642",
      "postDate": "10/11/2025 01:49:24",
      "content": "<p>Hi,<br>\nI believe the best way to learn kaggling is through playground series competitions. Their tasks is simple data mining on tabular datasets. Read as much as possible public notebooks&amp;ideas&amp;solutions from \"Code\" and \"Discussion\", and you will get familiar with what experienced kagglers are doing. If you meet any questions, ask AI. Then try to complete a new playground competition. When you think that you are able to try competitions offering medals, you could start.</p>",
      "rawMarkdown": "Hi,\nI believe the best way to learn kaggling is through playground series competitions. Their tasks is simple data mining on tabular datasets. Read as much as possible public notebooks&ideas&solutions from \"Code\" and \"Discussion\", and you will get familiar with what experienced kagglers are doing. If you meet any questions, ask AI. Then try to complete a new playground competition. When you think that you are able to try competitions offering medals, you could start.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3300642,
      "author_name": "zjm271441",
      "author_url": "",
      "post_date": "10/11/2025 01:49:24",
      "content": "<p>Hi,<br>\nI believe the best way to learn kaggling is through playground series competitions. Their tasks is simple data mining on tabular datasets. Read as much as possible public notebooks&amp;ideas&amp;solutions from \"Code\" and \"Discussion\", and you will get familiar with what experienced kagglers are doing. If you meet any questions, ask AI. Then try to complete a new playground competition. When you think that you are able to try competitions offering medals, you could start.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "3294906": "I am completely new to Kaggle competitions and to data science in general. I don’t have prior work experience in this field, and I am currently unemployed, but I am very eager to learn and participate.\n\nI recently came across this competition and found the idea of analyzing behaviors—whether of animals or other species—really fascinating. I would love to get involved, work with the dataset, and gain some practical knowledge.\n\nAt the moment, my skills are limited to basic tasks such as exploring data and doing simple EDA. However, I’m not sure how to move forward beyond that. Could anyone guide me on how a beginner should approach this competition? For example:\n\nHow should I start analyzing the dataset?\n\nWhat kind of models or approaches are suitable for beginners?\n\nAre there resources or starter notebooks you would recommend?",
    "3300642": "Hi,\nI believe the best way to learn kaggling is through playground series competitions. Their tasks is simple data mining on tabular datasets. Read as much as possible public notebooks&ideas&solutions from \"Code\" and \"Discussion\", and you will get familiar with what experienced kagglers are doing. If you meet any questions, ask AI. Then try to complete a new playground competition. When you think that you are able to try competitions offering medals, you could start."
  },
  "source": "meta"
}