{
  "id": 412299,
  "title": "Big Data issue",
  "url": "/competitions/predict-student-performance-from-game-play/discussion/412299",
  "author_name": "",
  "post_date": "2023-05-23T06:08:03.578193Z",
  "votes": 2,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Hello guys, I am not new in ML but I haven't worked on such big data. <strong>Can someone please tell me how I can deal with such data</strong>. Beccause when I tried to run on kaggle, it show all ram exhausted. <strong>Do I need to download it on my local computer or is there any trick so that kaggle's compiler handle such big data.</strong> Your help will be appreciated.</p>",
  "messages": [
    {
      "id": "2270336",
      "postDate": "05/23/2023 06:08:03",
      "content": "<p>Hello guys, I am not new in ML but I haven't worked on such big data. <strong>Can someone please tell me how I can deal with such data</strong>. Beccause when I tried to run on kaggle, it show all ram exhausted. <strong>Do I need to download it on my local computer or is there any trick so that kaggle's compiler handle such big data.</strong> Your help will be appreciated.</p>",
      "rawMarkdown": "Hello guys, I am not new in ML but I haven't worked on such big data. **Can someone please tell me how I can deal with such data**. Beccause when I tried to run on kaggle, it show all ram exhausted. **Do I need to download it on my local computer or is there any trick so that kaggle's compiler handle such big data.** Your help will be appreciated.",
      "votes": null
    },
    {
      "id": "2270372",
      "postDate": "05/23/2023 06:32:52",
      "content": "<p><a href=\"https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/396979\" target=\"_blank\">This could be helpful.</a></p>\n<p>I don't think the data of this competition are too big for Kaggle notebook. It's how this competition is designed and only limited resources are given if you use  <strong>INSIDE</strong> data directly. Check the above link to see how to train models without limitation.</p>",
      "rawMarkdown": "[This could be helpful.](https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/396979)\n\nI don't think the data of this competition are too big for Kaggle notebook. It's how this competition is designed and only limited resources are given if you use  **INSIDE** data directly. Check the above link to see how to train models without limitation.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2270372,
      "author_name": "ataraxian",
      "author_url": "",
      "post_date": "05/23/2023 06:32:52",
      "content": "<p><a href=\"https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/396979\" target=\"_blank\">This could be helpful.</a></p>\n<p>I don't think the data of this competition are too big for Kaggle notebook. It's how this competition is designed and only limited resources are given if you use  <strong>INSIDE</strong> data directly. Check the above link to see how to train models without limitation.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2270336": "Hello guys, I am not new in ML but I haven't worked on such big data. **Can someone please tell me how I can deal with such data**. Beccause when I tried to run on kaggle, it show all ram exhausted. **Do I need to download it on my local computer or is there any trick so that kaggle's compiler handle such big data.** Your help will be appreciated.",
    "2270372": "[This could be helpful.](https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/396979)\n\nI don't think the data of this competition are too big for Kaggle notebook. It's how this competition is designed and only limited resources are given if you use  **INSIDE** data directly. Check the above link to see how to train models without limitation."
  },
  "source": "meta"
}