{
  "id": 86935,
  "title": "Code sharing",
  "url": "/competitions/LANL-Earthquake-Prediction/discussion/86935",
  "author_name": "",
  "post_date": "2019-03-27T16:14:13.280614200Z",
  "votes": 10,
  "comment_count": 8,
  "views": 0,
  "content": "<p>Hi, I've used the dataset of this competition as a base for work done for a training (capstone project). From my understanding of the competitions rules, it's OK as long as I share all my work on the forum, is that right ? Can this be by links to external notebooks ? </p>",
  "messages": [
    {
      "id": "501691",
      "postDate": "03/27/2019 16:14:13",
      "content": "<p>Hi, I've used the dataset of this competition as a base for work done for a training (capstone project). From my understanding of the competitions rules, it's OK as long as I share all my work on the forum, is that right ? Can this be by links to external notebooks ? </p>",
      "rawMarkdown": "Hi, I've used the dataset of this competition as a base for work done for a training (capstone project). From my understanding of the competitions rules, it's OK as long as I share all my work on the forum, is that right ? Can this be by links to external notebooks ?",
      "votes": null
    },
    {
      "id": "502601",
      "postDate": "03/28/2019 20:00:51",
      "content": "<p>In other words, I would like to do that : \n<a href=\"https://github.com/jxtrbtk/kaggle/blob/master/LANL-Earthquake-Prediction/KaggleLANL.data_exp.02.ipynb\">KaggleLANL.data_exp.02</a>\nI have a few other files about ETL, features engineering, models definition and training, evaluation. </p>",
      "rawMarkdown": "In other words, I would like to do that : \n[KaggleLANL.data_exp.02](https://github.com/jxtrbtk/kaggle/blob/master/LANL-Earthquake-Prediction/KaggleLANL.data_exp.02.ipynb)\nI have a few other files about ETL, features engineering, models definition and training, evaluation.",
      "votes": null
    },
    {
      "id": "502864",
      "postDate": "03/29/2019 06:57:40",
      "content": "<p>I think it's legal to share your work in forum, because the kaggle only prohibit private sharing between teams.\nThanks for sharing in advance.</p>",
      "rawMarkdown": "I think it's legal to share your work in forum, because the kaggle only prohibit private sharing between teams.\nThanks for sharing in advance.",
      "votes": null
    },
    {
      "id": "502898",
      "postDate": "03/29/2019 08:03:15",
      "content": "<p>Will do.\nThanks for your answer Jason.</p>",
      "rawMarkdown": "Will do.\nThanks for your answer Jason.",
      "votes": null
    },
    {
      "id": "502968",
      "postDate": "03/29/2019 10:24:15",
      "content": "<p>Here is what I've done so far : \n<a href=\"https://github.com/jxtrbtk/kaggle/blob/master/LANL-Earthquake-Prediction/KaggleLANL.data_exp.02.ipynb\">Initial Data Exploration</a>\n<a href=\"https://github.com/jxtrbtk/kaggle/blob/master/LANL-Earthquake-Prediction/KaggleLANL.etl.02.ipynb\">ETL</a>\n<a href=\"https://github.com/jxtrbtk/kaggle/blob/master/LANL-Earthquake-Prediction/KaggleLANL.feature_eng.02.ipynb\">Features Engineering</a>\n<a href=\"https://github.com/jxtrbtk/kaggle/blob/master/LANL-Earthquake-Prediction/KaggleLANL.model_def.02.ipynb\">Model Definition</a></p>",
      "rawMarkdown": "Here is what I've done so far : \n[Initial Data Exploration](https://github.com/jxtrbtk/kaggle/blob/master/LANL-Earthquake-Prediction/KaggleLANL.data_exp.02.ipynb)\n[ETL](https://github.com/jxtrbtk/kaggle/blob/master/LANL-Earthquake-Prediction/KaggleLANL.etl.02.ipynb)\n[Features Engineering](https://github.com/jxtrbtk/kaggle/blob/master/LANL-Earthquake-Prediction/KaggleLANL.feature_eng.02.ipynb)\n[Model Definition](https://github.com/jxtrbtk/kaggle/blob/master/LANL-Earthquake-Prediction/KaggleLANL.model_def.02.ipynb)",
      "votes": null
    },
    {
      "id": "506092",
      "postDate": "04/03/2019 01:12:45",
      "content": "<p><a href=\"/jtbontinck\">@jtbontinck</a>, I just took a look at your capstone project. Your analysis is very well structured. Thank you so much for your sharing!</p>",
      "rawMarkdown": "jtbontinck, I just took a look at your capstone project. Your analysis is very well structured. Thank you so much for your sharing!",
      "votes": null
    },
    {
      "id": "507123",
      "postDate": "04/04/2019 10:22:25",
      "content": "<p>thanks !</p>",
      "rawMarkdown": "thanks !",
      "votes": null
    },
    {
      "id": "509285",
      "postDate": "04/07/2019 16:07:58",
      "content": "<p>Project presentation on <a href=\"https://youtu.be/okrR7Krd9z4\">YouTube</a></p>",
      "rawMarkdown": "Project presentation on [YouTube](https://youtu.be/okrR7Krd9z4)",
      "votes": null
    },
    {
      "id": "515925",
      "postDate": "04/13/2019 10:49:36",
      "content": "<p>Thank you for sharing!</p>",
      "rawMarkdown": "Thank you for sharing!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 502601,
      "author_name": "jtbontinck",
      "author_url": "",
      "post_date": "03/28/2019 20:00:51",
      "content": "<p>In other words, I would like to do that : \n<a href=\"https://github.com/jxtrbtk/kaggle/blob/master/LANL-Earthquake-Prediction/KaggleLANL.data_exp.02.ipynb\">KaggleLANL.data_exp.02</a>\nI have a few other files about ETL, features engineering, models definition and training, evaluation. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 502864,
      "author_name": "playif1",
      "author_url": "",
      "post_date": "03/29/2019 06:57:40",
      "content": "<p>I think it's legal to share your work in forum, because the kaggle only prohibit private sharing between teams.\nThanks for sharing in advance.</p>",
      "votes": null,
      "replies": [
        {
          "id": 502898,
          "author_name": "jtbontinck",
          "author_url": "",
          "post_date": "03/29/2019 08:03:15",
          "content": "<p>Will do.\nThanks for your answer Jason.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 502968,
      "author_name": "jtbontinck",
      "author_url": "",
      "post_date": "03/29/2019 10:24:15",
      "content": "<p>Here is what I've done so far : \n<a href=\"https://github.com/jxtrbtk/kaggle/blob/master/LANL-Earthquake-Prediction/KaggleLANL.data_exp.02.ipynb\">Initial Data Exploration</a>\n<a href=\"https://github.com/jxtrbtk/kaggle/blob/master/LANL-Earthquake-Prediction/KaggleLANL.etl.02.ipynb\">ETL</a>\n<a href=\"https://github.com/jxtrbtk/kaggle/blob/master/LANL-Earthquake-Prediction/KaggleLANL.feature_eng.02.ipynb\">Features Engineering</a>\n<a href=\"https://github.com/jxtrbtk/kaggle/blob/master/LANL-Earthquake-Prediction/KaggleLANL.model_def.02.ipynb\">Model Definition</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 506092,
      "author_name": "pukkinming",
      "author_url": "",
      "post_date": "04/03/2019 01:12:45",
      "content": "<p><a href=\"/jtbontinck\">@jtbontinck</a>, I just took a look at your capstone project. Your analysis is very well structured. Thank you so much for your sharing!</p>",
      "votes": null,
      "replies": [
        {
          "id": 507123,
          "author_name": "jtbontinck",
          "author_url": "",
          "post_date": "04/04/2019 10:22:25",
          "content": "<p>thanks !</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 509285,
      "author_name": "jtbontinck",
      "author_url": "",
      "post_date": "04/07/2019 16:07:58",
      "content": "<p>Project presentation on <a href=\"https://youtu.be/okrR7Krd9z4\">YouTube</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 515925,
      "author_name": "darbin",
      "author_url": "",
      "post_date": "04/13/2019 10:49:36",
      "content": "<p>Thank you for sharing!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "501691": "Hi, I've used the dataset of this competition as a base for work done for a training (capstone project). From my understanding of the competitions rules, it's OK as long as I share all my work on the forum, is that right ? Can this be by links to external notebooks ?",
    "502601": "In other words, I would like to do that : \n[KaggleLANL.data_exp.02](https://github.com/jxtrbtk/kaggle/blob/master/LANL-Earthquake-Prediction/KaggleLANL.data_exp.02.ipynb)\nI have a few other files about ETL, features engineering, models definition and training, evaluation.",
    "502864": "I think it's legal to share your work in forum, because the kaggle only prohibit private sharing between teams.\nThanks for sharing in advance.",
    "502898": "Will do.\nThanks for your answer Jason.",
    "502968": "Here is what I've done so far : \n[Initial Data Exploration](https://github.com/jxtrbtk/kaggle/blob/master/LANL-Earthquake-Prediction/KaggleLANL.data_exp.02.ipynb)\n[ETL](https://github.com/jxtrbtk/kaggle/blob/master/LANL-Earthquake-Prediction/KaggleLANL.etl.02.ipynb)\n[Features Engineering](https://github.com/jxtrbtk/kaggle/blob/master/LANL-Earthquake-Prediction/KaggleLANL.feature_eng.02.ipynb)\n[Model Definition](https://github.com/jxtrbtk/kaggle/blob/master/LANL-Earthquake-Prediction/KaggleLANL.model_def.02.ipynb)",
    "506092": "jtbontinck, I just took a look at your capstone project. Your analysis is very well structured. Thank you so much for your sharing!",
    "507123": "thanks !",
    "509285": "Project presentation on [YouTube](https://youtu.be/okrR7Krd9z4)",
    "515925": "Thank you for sharing!"
  },
  "source": "meta"
}