{
  "id": 47608,
  "title": "Process Data",
  "url": "/competitions/data-science-bowl-2018/discussion/47608",
  "author_name": "",
  "post_date": "2018-01-16T23:33:43.367611600Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Hello, I'm a Machine Learning/Data Mining newbie (also at Kaggle) but this competition seems really interesting and I want something challenging to get deeper knowledge about the field.\nI worked with Rapidminer on a Kaggle competition but the data was only few csv's with alphanumeric attributes.\nI noticed that in this caompetition the data are images. That was a big surprise tbh. How do I work and process this kind of data?</p>\n\n<p>Best Regards,\nLuís</p>",
  "messages": [
    {
      "id": "269496",
      "postDate": "01/16/2018 23:33:43",
      "content": "<p>Hello, I'm a Machine Learning/Data Mining newbie (also at Kaggle) but this competition seems really interesting and I want something challenging to get deeper knowledge about the field.\nI worked with Rapidminer on a Kaggle competition but the data was only few csv's with alphanumeric attributes.\nI noticed that in this caompetition the data are images. That was a big surprise tbh. How do I work and process this kind of data?</p>\n\n<p>Best Regards,\nLuís</p>",
      "rawMarkdown": "Hello, I'm a Machine Learning/Data Mining newbie (also at Kaggle) but this competition seems really interesting and I want something challenging to get deeper knowledge about the field.\nI worked with Rapidminer on a Kaggle competition but the data was only few csv's with alphanumeric attributes.\nI noticed that in this caompetition the data are images. That was a big surprise tbh. How do I work and process this kind of data?\n\nBest Regards,\nLuís",
      "votes": null
    },
    {
      "id": "269862",
      "postDate": "01/17/2018 12:20:47",
      "content": "<p>Maybe check out the thread on an open journal:\n<a href=\"https://www.kaggle.com/c/data-science-bowl-2018/discussion/47590\">https://www.kaggle.com/c/data-science-bowl-2018/discussion/47590</a></p>",
      "rawMarkdown": "Maybe check out the thread on an open journal:\nhttps://www.kaggle.com/c/data-science-bowl-2018/discussion/47590",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 269862,
      "author_name": "drannecarpenter",
      "author_url": "",
      "post_date": "01/17/2018 12:20:47",
      "content": "<p>Maybe check out the thread on an open journal:\n<a href=\"https://www.kaggle.com/c/data-science-bowl-2018/discussion/47590\">https://www.kaggle.com/c/data-science-bowl-2018/discussion/47590</a></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "269496": "Hello, I'm a Machine Learning/Data Mining newbie (also at Kaggle) but this competition seems really interesting and I want something challenging to get deeper knowledge about the field.\nI worked with Rapidminer on a Kaggle competition but the data was only few csv's with alphanumeric attributes.\nI noticed that in this caompetition the data are images. That was a big surprise tbh. How do I work and process this kind of data?\n\nBest Regards,\nLuís",
    "269862": "Maybe check out the thread on an open journal:\nhttps://www.kaggle.com/c/data-science-bowl-2018/discussion/47590"
  },
  "source": "meta"
}