{
  "id": 252674,
  "title": "How to use Facebook Prophet for time series",
  "url": "/competitions/g2net-gravitational-wave-detection/discussion/252674",
  "author_name": "",
  "post_date": "2021-07-13T11:39:58.484160500Z",
  "votes": 1,
  "comment_count": 5,
  "views": 0,
  "content": "<p>You may or may not be familiar with Facebook's Prophet. It's a really straightforward procedure for time series modeling. I have used it some on MLB to get quick views of data and thought I'd share a few of the tutorials I used along with Facebook's Github repo.</p>\n<p>This is a really good tutorial on<a href=\"https://www.analyticsvidhya.com/blog/2018/05/generate-accurate-forecasts-facebook-prophet-python-r/\" target=\"_blank\"> Analytics Vidhya</a>.</p>\n<p>This <a href=\"https://towardsdatascience.com/an-end-to-end-project-on-time-series-analysis-and-forecasting-with-python-4835e6bf050b\" target=\"_blank\">is an end-to-end time series project that mixes in Prophet.</a> </p>\n<p>Here is a <a href=\"https://www.kaggle.com/nilaychauhan/time-series-forecasting-using-facebook-prophet\" target=\"_blank\">good Kaggle kernel</a>. </p>\n<p>And this is <a href=\"https://facebook.github.io/prophet/\" target=\"_blank\">Facebook's official GitHub repo</a>. </p>\n<p>Hope this helps and let me know if a notebook would be helpful. I might build one out. </p>",
  "messages": [
    {
      "id": "1386279",
      "postDate": "07/13/2021 11:39:58",
      "content": "<p>You may or may not be familiar with Facebook's Prophet. It's a really straightforward procedure for time series modeling. I have used it some on MLB to get quick views of data and thought I'd share a few of the tutorials I used along with Facebook's Github repo.</p>\n<p>This is a really good tutorial on<a href=\"https://www.analyticsvidhya.com/blog/2018/05/generate-accurate-forecasts-facebook-prophet-python-r/\" target=\"_blank\"> Analytics Vidhya</a>.</p>\n<p>This <a href=\"https://towardsdatascience.com/an-end-to-end-project-on-time-series-analysis-and-forecasting-with-python-4835e6bf050b\" target=\"_blank\">is an end-to-end time series project that mixes in Prophet.</a> </p>\n<p>Here is a <a href=\"https://www.kaggle.com/nilaychauhan/time-series-forecasting-using-facebook-prophet\" target=\"_blank\">good Kaggle kernel</a>. </p>\n<p>And this is <a href=\"https://facebook.github.io/prophet/\" target=\"_blank\">Facebook's official GitHub repo</a>. </p>\n<p>Hope this helps and let me know if a notebook would be helpful. I might build one out. </p>",
      "rawMarkdown": "You may or may not be familiar with Facebook's Prophet. It's a really straightforward procedure for time series modeling. I have used it some on MLB to get quick views of data and thought I'd share a few of the tutorials I used along with Facebook's Github repo.\n\nThis is a really good tutorial on[ Analytics Vidhya](https://www.analyticsvidhya.com/blog/2018/05/generate-accurate-forecasts-facebook-prophet-python-r/).\n\nThis [is an end-to-end time series project that mixes in Prophet.](https://towardsdatascience.com/an-end-to-end-project-on-time-series-analysis-and-forecasting-with-python-4835e6bf050b) \n\nHere is a [good Kaggle kernel](https://www.kaggle.com/nilaychauhan/time-series-forecasting-using-facebook-prophet). \n\nAnd this is [Facebook's official GitHub repo](https://facebook.github.io/prophet/). \n\nHope this helps and let me know if a notebook would be helpful. I might build one out.",
      "votes": null
    },
    {
      "id": "1386480",
      "postDate": "07/13/2021 14:09:00",
      "content": "<p>Have you used it for GW prediction?</p>",
      "rawMarkdown": "Have you used it for GW prediction?",
      "votes": null
    },
    {
      "id": "1386848",
      "postDate": "07/13/2021 18:18:21",
      "content": "<p><a href=\"https://www.kaggle.com/cpmpml\" target=\"_blank\">@cpmpml</a> I haven't yet. I did run it on MLB which inspired me to post this over on this competition and think about testing it. </p>",
      "rawMarkdown": "cpmpml I haven't yet. I did run it on MLB which inspired me to post this over on this competition and think about testing it.",
      "votes": null
    },
    {
      "id": "1387169",
      "postDate": "07/14/2021 02:58:24",
      "content": "<p>Good day,<br>\nI deleted my fb app and don’t plan to use it or anything associated with it as the security issues I deal with — just is not a secure platform anymore…</p>",
      "rawMarkdown": "Good day,\nI deleted my fb app and don’t plan to use it or anything associated with it as the security issues I deal with — just is not a secure platform anymore…",
      "votes": null
    },
    {
      "id": "1387670",
      "postDate": "07/14/2021 11:00:51",
      "content": "<p>You don't need Facebook to use Prophet. It's open source without any tie to a Facebook account.</p>",
      "rawMarkdown": "You don't need Facebook to use Prophet. It's open source without any tie to a Facebook account.",
      "votes": null
    },
    {
      "id": "1563277",
      "postDate": "10/28/2021 06:53:14",
      "content": "<p>Hey,</p>\n<p>Thank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey <a href=\"https://forms.gle/QP9L16niPexozyhu5\" target=\"_blank\">https://forms.gle/QP9L16niPexozyhu5</a>.</p>\n<p>Thank you all,</p>\n<p>Regards,<br>\nChris</p>",
      "rawMarkdown": "Hey,\n\nThank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey https://forms.gle/QP9L16niPexozyhu5.\n\nThank you all,\n\nRegards,\nChris",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1386480,
      "author_name": "cpmpml",
      "author_url": "",
      "post_date": "07/13/2021 14:09:00",
      "content": "<p>Have you used it for GW prediction?</p>",
      "votes": null,
      "replies": [
        {
          "id": 1386848,
          "author_name": "crained",
          "author_url": "",
          "post_date": "07/13/2021 18:18:21",
          "content": "<p><a href=\"https://www.kaggle.com/cpmpml\" target=\"_blank\">@cpmpml</a> I haven't yet. I did run it on MLB which inspired me to post this over on this competition and think about testing it. </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1387169,
      "author_name": "captbullett",
      "author_url": "",
      "post_date": "07/14/2021 02:58:24",
      "content": "<p>Good day,<br>\nI deleted my fb app and don’t plan to use it or anything associated with it as the security issues I deal with — just is not a secure platform anymore…</p>",
      "votes": null,
      "replies": [
        {
          "id": 1387670,
          "author_name": "crained",
          "author_url": "",
          "post_date": "07/14/2021 11:00:51",
          "content": "<p>You don't need Facebook to use Prophet. It's open source without any tie to a Facebook account.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1563277,
      "author_name": "zerafachris",
      "author_url": "",
      "post_date": "10/28/2021 06:53:14",
      "content": "<p>Hey,</p>\n<p>Thank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey <a href=\"https://forms.gle/QP9L16niPexozyhu5\" target=\"_blank\">https://forms.gle/QP9L16niPexozyhu5</a>.</p>\n<p>Thank you all,</p>\n<p>Regards,<br>\nChris</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1386279": "You may or may not be familiar with Facebook's Prophet. It's a really straightforward procedure for time series modeling. I have used it some on MLB to get quick views of data and thought I'd share a few of the tutorials I used along with Facebook's Github repo.\n\nThis is a really good tutorial on[ Analytics Vidhya](https://www.analyticsvidhya.com/blog/2018/05/generate-accurate-forecasts-facebook-prophet-python-r/).\n\nThis [is an end-to-end time series project that mixes in Prophet.](https://towardsdatascience.com/an-end-to-end-project-on-time-series-analysis-and-forecasting-with-python-4835e6bf050b) \n\nHere is a [good Kaggle kernel](https://www.kaggle.com/nilaychauhan/time-series-forecasting-using-facebook-prophet). \n\nAnd this is [Facebook's official GitHub repo](https://facebook.github.io/prophet/). \n\nHope this helps and let me know if a notebook would be helpful. I might build one out.",
    "1386480": "Have you used it for GW prediction?",
    "1386848": "cpmpml I haven't yet. I did run it on MLB which inspired me to post this over on this competition and think about testing it.",
    "1387169": "Good day,\nI deleted my fb app and don’t plan to use it or anything associated with it as the security issues I deal with — just is not a secure platform anymore…",
    "1387670": "You don't need Facebook to use Prophet. It's open source without any tie to a Facebook account.",
    "1563277": "Hey,\n\nThank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey https://forms.gle/QP9L16niPexozyhu5.\n\nThank you all,\n\nRegards,\nChris"
  },
  "source": "meta"
}