{
  "id": 343903,
  "title": "What is an Analytics competition? Checkout previous winners!",
  "url": "/competitions/big-data-derby-2022/discussion/343903",
  "author_name": "",
  "post_date": "2022-08-12T22:02:48.937923700Z",
  "votes": 6,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Kaggle Analytics competitions are quite rare, so <a href=\"https://www.kaggle.com/competitions/NFL-Punt-Analytics-Competition/discussion/73664\" target=\"_blank\">what is an Analytics Competition?</a></p>\n<p>According to <a href=\"https://www.kaggle.com/crawford\" target=\"_blank\">@crawford</a>, Analytics competitions are competition where <em>the competition host presents a problem and provides a dataset and you analyze the data using any method you want. You can use machine learning, pie charts, TI-83+ calculators, whatever and your final submission needs to be in the form of a presentation with your analysis done in a Kernels notebook. Ultimately, your goal is to find a solution to the problem and convince the host that your approach is the best by presenting your evidence.</em></p>\n<p>The <a href=\"https://www.kaggle.com/competitions/NFL-Punt-Analytics-Competition/overview\" target=\"_blank\">NFL Punt Analytics Competition</a> is one of the most popular analytics competition in Kaggle so far, thus you can check in the following list the competition's winner solutions so you can get inspiration and a sense of what is expected for this competition:</p>\n<ul>\n<li><a href=\"https://www.kaggle.com/jpmiller/nfl-punt-analytics\" target=\"_blank\">John Miller solution</a></li>\n<li><a href=\"https://www.kaggle.com/jeffspov/nfl-punt-analytics\" target=\"_blank\">Jeff Rayvid solution</a></li>\n<li><a href=\"https://www.kaggle.com/awainger/analysis\" target=\"_blank\">Alex Wainger solution</a></li>\n<li><a href=\"https://www.kaggle.com/hallayang/nfl-punt-analytics-proposal\" target=\"_blank\">Halla Yang</a></li>\n</ul>",
  "messages": [
    {
      "id": "1896529",
      "postDate": "08/12/2022 22:02:48",
      "content": "<p>Kaggle Analytics competitions are quite rare, so <a href=\"https://www.kaggle.com/competitions/NFL-Punt-Analytics-Competition/discussion/73664\" target=\"_blank\">what is an Analytics Competition?</a></p>\n<p>According to <a href=\"https://www.kaggle.com/crawford\" target=\"_blank\">@crawford</a>, Analytics competitions are competition where <em>the competition host presents a problem and provides a dataset and you analyze the data using any method you want. You can use machine learning, pie charts, TI-83+ calculators, whatever and your final submission needs to be in the form of a presentation with your analysis done in a Kernels notebook. Ultimately, your goal is to find a solution to the problem and convince the host that your approach is the best by presenting your evidence.</em></p>\n<p>The <a href=\"https://www.kaggle.com/competitions/NFL-Punt-Analytics-Competition/overview\" target=\"_blank\">NFL Punt Analytics Competition</a> is one of the most popular analytics competition in Kaggle so far, thus you can check in the following list the competition's winner solutions so you can get inspiration and a sense of what is expected for this competition:</p>\n<ul>\n<li><a href=\"https://www.kaggle.com/jpmiller/nfl-punt-analytics\" target=\"_blank\">John Miller solution</a></li>\n<li><a href=\"https://www.kaggle.com/jeffspov/nfl-punt-analytics\" target=\"_blank\">Jeff Rayvid solution</a></li>\n<li><a href=\"https://www.kaggle.com/awainger/analysis\" target=\"_blank\">Alex Wainger solution</a></li>\n<li><a href=\"https://www.kaggle.com/hallayang/nfl-punt-analytics-proposal\" target=\"_blank\">Halla Yang</a></li>\n</ul>",
      "rawMarkdown": "Kaggle Analytics competitions are quite rare, so [what is an Analytics Competition?](https://www.kaggle.com/competitions/NFL-Punt-Analytics-Competition/discussion/73664)\n\nAccording to @crawford, Analytics competitions are competition where *the competition host presents a problem and provides a dataset and you analyze the data using any method you want. You can use machine learning, pie charts, TI-83+ calculators, whatever and your final submission needs to be in the form of a presentation with your analysis done in a Kernels notebook. Ultimately, your goal is to find a solution to the problem and convince the host that your approach is the best by presenting your evidence.*\n\nThe [NFL Punt Analytics Competition](https://www.kaggle.com/competitions/NFL-Punt-Analytics-Competition/overview) is one of the most popular analytics competition in Kaggle so far, thus you can check in the following list the competition's winner solutions so you can get inspiration and a sense of what is expected for this competition:\n\n- [John Miller solution](https://www.kaggle.com/jpmiller/nfl-punt-analytics)\n- [Jeff Rayvid solution](https://www.kaggle.com/jeffspov/nfl-punt-analytics)\n- [Alex Wainger solution](https://www.kaggle.com/awainger/analysis)\n- [Halla Yang](https://www.kaggle.com/hallayang/nfl-punt-analytics-proposal)",
      "votes": null
    },
    {
      "id": "1896861",
      "postDate": "08/13/2022 08:19:04",
      "content": "<p>This is a very innovative competition series!! I was unaware of this and opine that this is different from all other competition categories!! <br>\nKudos for organizing this!!</p>",
      "rawMarkdown": "This is a very innovative competition series!! I was unaware of this and opine that this is different from all other competition categories!! \nKudos for organizing this!!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1896861,
      "author_name": "ravi20076",
      "author_url": "",
      "post_date": "08/13/2022 08:19:04",
      "content": "<p>This is a very innovative competition series!! I was unaware of this and opine that this is different from all other competition categories!! <br>\nKudos for organizing this!!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1896529": "Kaggle Analytics competitions are quite rare, so [what is an Analytics Competition?](https://www.kaggle.com/competitions/NFL-Punt-Analytics-Competition/discussion/73664)\n\nAccording to @crawford, Analytics competitions are competition where *the competition host presents a problem and provides a dataset and you analyze the data using any method you want. You can use machine learning, pie charts, TI-83+ calculators, whatever and your final submission needs to be in the form of a presentation with your analysis done in a Kernels notebook. Ultimately, your goal is to find a solution to the problem and convince the host that your approach is the best by presenting your evidence.*\n\nThe [NFL Punt Analytics Competition](https://www.kaggle.com/competitions/NFL-Punt-Analytics-Competition/overview) is one of the most popular analytics competition in Kaggle so far, thus you can check in the following list the competition's winner solutions so you can get inspiration and a sense of what is expected for this competition:\n\n- [John Miller solution](https://www.kaggle.com/jpmiller/nfl-punt-analytics)\n- [Jeff Rayvid solution](https://www.kaggle.com/jeffspov/nfl-punt-analytics)\n- [Alex Wainger solution](https://www.kaggle.com/awainger/analysis)\n- [Halla Yang](https://www.kaggle.com/hallayang/nfl-punt-analytics-proposal)",
    "1896861": "This is a very innovative competition series!! I was unaware of this and opine that this is different from all other competition categories!! \nKudos for organizing this!!"
  },
  "source": "meta"
}