{
  "id": 356556,
  "title": "TPS - Oct-2022 - Some brilliant references for the competition",
  "url": "/competitions/tabular-playground-series-oct-2022/discussion/356556",
  "author_name": "Kalilur Rahman",
  "post_date": "2022-10-01T04:00:36.455000",
  "votes": 5,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Some good references </p>\n<h1>RLCS  references</h1>\n<p></p><li><a href=\"https://www.kaggle.com/code/dylanmonfret/rlcs-2021-22-demo\">Nice one by Dylan Monfret</a></li><br>\n<li><a href=\"https://www.kaggle.com/code/kerneler/starter-rlcs-s8-parsed-with-carball-13ef784d-7\">By Kerneler</a></li><br>\n<li><a href=\"https://www.kaggle.com/code/dylanmonfret/rlcs-prediction-na-winter-regional-3\">Another by Dylan</a></li><p></p>\n<h1>Some good EDA</h1>\n<p></p><li><a href=\"https://www.kaggle.com/code/tayyabali55/nfl-super-bowl-historical-data-visualization-eda&gt;Super Bowl Viz&lt;/a&gt;&lt;/li&gt;&lt;br /&gt;\n&lt;li&gt;&lt;a href=\">FIFA Viz</a></li><br>\n<li><a href=\"https://www.kaggle.com/code/yahyarashwan/football-transfers-between-2000-2018-eda&gt;Football Transfer Viz&lt;/a&gt;&lt;/li&gt;&lt;/p&gt;\n&lt;h1 id=\">NFL Big Data Bowl Solutions\n<p></p></a></li><li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119400\">1st Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119314\">2nd Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119357\">3rd Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/121397\">4th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119383\">5th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119433\">6th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119318\">8th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119508\">9th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119395\">10th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119299\">12th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119331\">13th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119361\">14th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119438\">16th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/120568\">17th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119430\">18th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119552\">21st Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119381\">22nd Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119461\">23rd Place Solution</a></li><p></p>\n<h1>Some Brilliant Notebooks</h1>\n<p></p><li><a href=\"https://www.kaggle.com/bgmello/neural-networks-feature-engineering-for-the-win\">Neural Networks Feature Engineering For the Win </a></li><br>\n<li><a href=\"https://www.kaggle.com/cpmpml/initial-wrangling-voronoi-areas-in-python\">Initial Wrangling Voronoi Areas in Python</a></li><br>\n<li><a href=\"https://www.kaggle.com/tombresee/next-gen-eda\">Next Gen EDA</a></li><br>\n<li><a href=\"https://www.kaggle.com/statsbymichaellopez/nfl-tracking-wrangling-voronoi-and-sonars\">NFL Tracking, Wrangling, Voronoi and Sonars</a></li><br>\n<li><a href=\"https://www.kaggle.com/hukuda222/nfl-simple-model-using-lightgbm\">NFL Simple Model using LightGBM</a></li><br>\n<li><a href=\"https://www.kaggle.com/jaseziv83/comprehensive-cleaning-and-eda-of-all-variables\">Comprehensive Cleaning and EDA</a></li><br>\n<li><a href=\"https://www.kaggle.com/robikscube/nfl-big-data-bowl-plotting-player-position\">Plotting Player Position</a></li><br>\n<li><a href=\"https://www.kaggle.com/sryo188558/cox-proportional-hazard-model\">Cox Proportional Hazard Model</a></li><br>\n<li><a href=\"https://www.kaggle.com/mrkmakr/neural-network-with-mae-objective-0-01381\">Neural Network with MAE Objective</a></li><br>\n<li><a href=\"https://www.kaggle.com/fatihbilgin/nfl-big-data-visualization\">NFL Big Data Visualization</a></li><p></p><p></p>",
  "messages": [
    {
      "id": 1964977,
      "postDate": "2022-10-01T04:00:36.457Z",
      "content": "<p>Some good references </p>\n<h1>RLCS  references</h1>\n<p></p><li><a href=\"https://www.kaggle.com/code/dylanmonfret/rlcs-2021-22-demo\">Nice one by Dylan Monfret</a></li><br>\n<li><a href=\"https://www.kaggle.com/code/kerneler/starter-rlcs-s8-parsed-with-carball-13ef784d-7\">By Kerneler</a></li><br>\n<li><a href=\"https://www.kaggle.com/code/dylanmonfret/rlcs-prediction-na-winter-regional-3\">Another by Dylan</a></li><p></p>\n<h1>Some good EDA</h1>\n<p></p><li><a href=\"https://www.kaggle.com/code/tayyabali55/nfl-super-bowl-historical-data-visualization-eda&gt;Super Bowl Viz&lt;/a&gt;&lt;/li&gt;&lt;br /&gt;\n&lt;li&gt;&lt;a href=\">FIFA Viz</a></li><br>\n<li><a href=\"https://www.kaggle.com/code/yahyarashwan/football-transfers-between-2000-2018-eda&gt;Football Transfer Viz&lt;/a&gt;&lt;/li&gt;&lt;/p&gt;\n&lt;h1 id=\">NFL Big Data Bowl Solutions\n<p></p></a></li><li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119400\">1st Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119314\">2nd Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119357\">3rd Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/121397\">4th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119383\">5th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119433\">6th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119318\">8th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119508\">9th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119395\">10th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119299\">12th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119331\">13th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119361\">14th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119438\">16th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/120568\">17th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119430\">18th Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119552\">21st Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119381\">22nd Place Solution</a></li><br>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119461\">23rd Place Solution</a></li><p></p>\n<h1>Some Brilliant Notebooks</h1>\n<p></p><li><a href=\"https://www.kaggle.com/bgmello/neural-networks-feature-engineering-for-the-win\">Neural Networks Feature Engineering For the Win </a></li><br>\n<li><a href=\"https://www.kaggle.com/cpmpml/initial-wrangling-voronoi-areas-in-python\">Initial Wrangling Voronoi Areas in Python</a></li><br>\n<li><a href=\"https://www.kaggle.com/tombresee/next-gen-eda\">Next Gen EDA</a></li><br>\n<li><a href=\"https://www.kaggle.com/statsbymichaellopez/nfl-tracking-wrangling-voronoi-and-sonars\">NFL Tracking, Wrangling, Voronoi and Sonars</a></li><br>\n<li><a href=\"https://www.kaggle.com/hukuda222/nfl-simple-model-using-lightgbm\">NFL Simple Model using LightGBM</a></li><br>\n<li><a href=\"https://www.kaggle.com/jaseziv83/comprehensive-cleaning-and-eda-of-all-variables\">Comprehensive Cleaning and EDA</a></li><br>\n<li><a href=\"https://www.kaggle.com/robikscube/nfl-big-data-bowl-plotting-player-position\">Plotting Player Position</a></li><br>\n<li><a href=\"https://www.kaggle.com/sryo188558/cox-proportional-hazard-model\">Cox Proportional Hazard Model</a></li><br>\n<li><a href=\"https://www.kaggle.com/mrkmakr/neural-network-with-mae-objective-0-01381\">Neural Network with MAE Objective</a></li><br>\n<li><a href=\"https://www.kaggle.com/fatihbilgin/nfl-big-data-visualization\">NFL Big Data Visualization</a></li><p></p><p></p>",
      "rawMarkdown": "Some good references \n# RLCS  references\n<li><a href=\"https://www.kaggle.com/code/dylanmonfret/rlcs-2021-22-demo\">Nice one by Dylan Monfret</a></li>\n<li><a href=\"https://www.kaggle.com/code/kerneler/starter-rlcs-s8-parsed-with-carball-13ef784d-7\">By Kerneler</a></li>\n<li><a href=\"https://www.kaggle.com/code/dylanmonfret/rlcs-prediction-na-winter-regional-3\">Another by Dylan</a></li>\n\n#Some good EDA\n<li><a href=\"https://www.kaggle.com/code/tayyabali55/nfl-super-bowl-historical-data-visualization-eda>Super Bowl Viz</a></li>\n<li><a href=\"https://www.kaggle.com/code/vikassingh1996/comprehensive-visualization-fifa-19>FIFA Viz</a></li>\n<li><a href=\"https://www.kaggle.com/code/yahyarashwan/football-transfers-between-2000-2018-eda>Football Transfer Viz</a></li>\n\n\n\n\n# NFL Big Data Bowl Solutions\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119400\">1st Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119314\">2nd Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119357\">3rd Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/121397\">4th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119383\">5th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119433\">6th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119318\">8th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119508\">9th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119395\">10th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119299\">12th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119331\">13th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119361\">14th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119438\">16th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/120568\">17th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119430\">18th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119552\">21st Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119381\">22nd Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119461\">23rd Place Solution</a></li>\n\n# Some Brilliant Notebooks\n\n<li><a href=\"https://www.kaggle.com/bgmello/neural-networks-feature-engineering-for-the-win\">Neural Networks Feature Engineering For the Win </a></li>\n<li><a href=\"https://www.kaggle.com/cpmpml/initial-wrangling-voronoi-areas-in-python\">Initial Wrangling Voronoi Areas in Python</a></li>\n<li><a href=\"https://www.kaggle.com/tombresee/next-gen-eda\">Next Gen EDA</a></li>\n<li><a href=\"https://www.kaggle.com/statsbymichaellopez/nfl-tracking-wrangling-voronoi-and-sonars\">NFL Tracking, Wrangling, Voronoi and Sonars</a></li>\n<li><a href=\"https://www.kaggle.com/hukuda222/nfl-simple-model-using-lightgbm\">NFL Simple Model using LightGBM</a></li>\n<li><a href=\"https://www.kaggle.com/jaseziv83/comprehensive-cleaning-and-eda-of-all-variables\">Comprehensive Cleaning and EDA</a></li>\n<li><a href=\"https://www.kaggle.com/robikscube/nfl-big-data-bowl-plotting-player-position\">Plotting Player Position</a></li>\n<li><a href=\"https://www.kaggle.com/sryo188558/cox-proportional-hazard-model\">Cox Proportional Hazard Model</a></li>\n<li><a href=\"https://www.kaggle.com/mrkmakr/neural-network-with-mae-objective-0-01381\">Neural Network with MAE Objective</a></li>\n<li><a href=\"https://www.kaggle.com/fatihbilgin/nfl-big-data-visualization\">NFL Big Data Visualization</a></li>\n\n",
      "votes": 4
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1964977": "Some good references \n# RLCS  references\n<li><a href=\"https://www.kaggle.com/code/dylanmonfret/rlcs-2021-22-demo\">Nice one by Dylan Monfret</a></li>\n<li><a href=\"https://www.kaggle.com/code/kerneler/starter-rlcs-s8-parsed-with-carball-13ef784d-7\">By Kerneler</a></li>\n<li><a href=\"https://www.kaggle.com/code/dylanmonfret/rlcs-prediction-na-winter-regional-3\">Another by Dylan</a></li>\n\n#Some good EDA\n<li><a href=\"https://www.kaggle.com/code/tayyabali55/nfl-super-bowl-historical-data-visualization-eda>Super Bowl Viz</a></li>\n<li><a href=\"https://www.kaggle.com/code/vikassingh1996/comprehensive-visualization-fifa-19>FIFA Viz</a></li>\n<li><a href=\"https://www.kaggle.com/code/yahyarashwan/football-transfers-between-2000-2018-eda>Football Transfer Viz</a></li>\n\n\n\n\n# NFL Big Data Bowl Solutions\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119400\">1st Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119314\">2nd Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119357\">3rd Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/121397\">4th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119383\">5th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119433\">6th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119318\">8th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119508\">9th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119395\">10th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119299\">12th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119331\">13th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119361\">14th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119438\">16th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/120568\">17th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119430\">18th Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119552\">21st Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119381\">22nd Place Solution</a></li>\n<li><a href=\"https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119461\">23rd Place Solution</a></li>\n\n# Some Brilliant Notebooks\n\n<li><a href=\"https://www.kaggle.com/bgmello/neural-networks-feature-engineering-for-the-win\">Neural Networks Feature Engineering For the Win </a></li>\n<li><a href=\"https://www.kaggle.com/cpmpml/initial-wrangling-voronoi-areas-in-python\">Initial Wrangling Voronoi Areas in Python</a></li>\n<li><a href=\"https://www.kaggle.com/tombresee/next-gen-eda\">Next Gen EDA</a></li>\n<li><a href=\"https://www.kaggle.com/statsbymichaellopez/nfl-tracking-wrangling-voronoi-and-sonars\">NFL Tracking, Wrangling, Voronoi and Sonars</a></li>\n<li><a href=\"https://www.kaggle.com/hukuda222/nfl-simple-model-using-lightgbm\">NFL Simple Model using LightGBM</a></li>\n<li><a href=\"https://www.kaggle.com/jaseziv83/comprehensive-cleaning-and-eda-of-all-variables\">Comprehensive Cleaning and EDA</a></li>\n<li><a href=\"https://www.kaggle.com/robikscube/nfl-big-data-bowl-plotting-player-position\">Plotting Player Position</a></li>\n<li><a href=\"https://www.kaggle.com/sryo188558/cox-proportional-hazard-model\">Cox Proportional Hazard Model</a></li>\n<li><a href=\"https://www.kaggle.com/mrkmakr/neural-network-with-mae-objective-0-01381\">Neural Network with MAE Objective</a></li>\n<li><a href=\"https://www.kaggle.com/fatihbilgin/nfl-big-data-visualization\">NFL Big Data Visualization</a></li>\n\n"
  }
}