{
  "id": 275228,
  "title": "Most Voted Kernel From Previous NFL Competition ",
  "url": "/competitions/nfl-big-data-bowl-2022/discussion/275228",
  "author_name": "Gaju Ahmed",
  "post_date": "2021-09-29T13:04:55.883000",
  "votes": 5,
  "comment_count": 0,
  "views": 0,
  "content": "<p><strong><em>NFL Big Data Bowl 2021:</em></strong></p>\n<ol>\n<li><a href=\"https://www.kaggle.com/robikscube/nfl-big-data-bowl-plotting-player-position\">NFL Big Data Bowl - Plotting Player Position</a></li>\n<li><a href=\"https://www.kaggle.com/jpmiller/some-best-practices-for-analytics-reporting\">Some Best Practices for Analytics Reporting</a></li>\n<li><a href=\"https://www.kaggle.com/utkarshxy/object-detection-with-yolo-complete-theory-5mins\">Object Detection with YOLO| Complete Theory-5mins</a></li>\n<li><a href=\"https://www.kaggle.com/subinium/tips-for-making-the-informative-visualization\">Tips for making the Informative Visualization</a></li>\n<li><a href=\"https://www.kaggle.com/isaienkov/nfl-big-data-bowl-2021-eda\">NFL Big Data Bowl 2021. EDA</a></li>\n</ol>\n<p><strong><em>NFL Big Data Bowl 2020</em></strong></p>\n<ol>\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/dster/nfl-big-data-bowl-official-starter-notebook\">NFL Big Data Bowl Official Starter Notebook</a></li>\n<li><a href=\"https://www.kaggle.com/robikscube/nfl-big-data-bowl-plotting-player-position\">NFL Big Data Bowl - Plotting Player Position</a></li>\n<li><a href=\"https://www.kaggle.com/cpmpml/initial-wrangling-voronoi-areas-in-python\">initial wrangling &amp; 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/mrkmakr/neural-network-with-mae-objective-0-01381\">neural network, with mae objective, 0.01381</a></li>\n</ol>\n<p><strong><em>NFL 1st and Future - Analytics 2019</em></strong></p>\n<ol>\n<li><a href=\"https://www.kaggle.com/robikscube/nfl-1st-and-future-analytics-intro\">NFL 1st and Future - Analytics Intro</a></li>\n<li><a>NFL Injury Analysis</a></li>\n<li><a href=\"https://www.kaggle.com/jaseziv83/an-analysis-of-nfl-injuries\">An Analysis of NFL Injuries</a></li>\n<li><a href=\"https://www.kaggle.com/jpmiller/nfl-1standfuture-report\">NFL 1standFuture Report</a></li>\n<li><a href=\"https://www.kaggle.com/philippsinger/nfl-playing-surface-analytics-the-zoo\">NFL Playing Surface Analytics: The Zoo</a></li>\n</ol>\n<p><strong><em>NFL Punt Analytics Competition 2018</em></strong></p>\n<ol>\n<li><a href=\" https://www.kaggle.com/jpmiller/nfl-punt-analytics\">NFL Punt Analytics</a></li>\n<li><a href=\"https://www.kaggle.com/robikscube/evolving-the-punt-play-nfl-data-formal-report\">Evolving the Punt Play - NFL Data Formal Report</a></li>\n<li><a href=\" https://www.kaggle.com/crawford/nfl-punt-analytics-starter-kernel\">NFL Punt Analytics Starter Kernel</a></li>\n</ol>",
  "messages": [
    {
      "id": 1528198,
      "postDate": "2021-09-29T13:04:55.883Z",
      "content": "<p><strong><em>NFL Big Data Bowl 2021:</em></strong></p>\n<ol>\n<li><a href=\"https://www.kaggle.com/robikscube/nfl-big-data-bowl-plotting-player-position\">NFL Big Data Bowl - Plotting Player Position</a></li>\n<li><a href=\"https://www.kaggle.com/jpmiller/some-best-practices-for-analytics-reporting\">Some Best Practices for Analytics Reporting</a></li>\n<li><a href=\"https://www.kaggle.com/utkarshxy/object-detection-with-yolo-complete-theory-5mins\">Object Detection with YOLO| Complete Theory-5mins</a></li>\n<li><a href=\"https://www.kaggle.com/subinium/tips-for-making-the-informative-visualization\">Tips for making the Informative Visualization</a></li>\n<li><a href=\"https://www.kaggle.com/isaienkov/nfl-big-data-bowl-2021-eda\">NFL Big Data Bowl 2021. EDA</a></li>\n</ol>\n<p><strong><em>NFL Big Data Bowl 2020</em></strong></p>\n<ol>\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/dster/nfl-big-data-bowl-official-starter-notebook\">NFL Big Data Bowl Official Starter Notebook</a></li>\n<li><a href=\"https://www.kaggle.com/robikscube/nfl-big-data-bowl-plotting-player-position\">NFL Big Data Bowl - Plotting Player Position</a></li>\n<li><a href=\"https://www.kaggle.com/cpmpml/initial-wrangling-voronoi-areas-in-python\">initial wrangling &amp; 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/mrkmakr/neural-network-with-mae-objective-0-01381\">neural network, with mae objective, 0.01381</a></li>\n</ol>\n<p><strong><em>NFL 1st and Future - Analytics 2019</em></strong></p>\n<ol>\n<li><a href=\"https://www.kaggle.com/robikscube/nfl-1st-and-future-analytics-intro\">NFL 1st and Future - Analytics Intro</a></li>\n<li><a>NFL Injury Analysis</a></li>\n<li><a href=\"https://www.kaggle.com/jaseziv83/an-analysis-of-nfl-injuries\">An Analysis of NFL Injuries</a></li>\n<li><a href=\"https://www.kaggle.com/jpmiller/nfl-1standfuture-report\">NFL 1standFuture Report</a></li>\n<li><a href=\"https://www.kaggle.com/philippsinger/nfl-playing-surface-analytics-the-zoo\">NFL Playing Surface Analytics: The Zoo</a></li>\n</ol>\n<p><strong><em>NFL Punt Analytics Competition 2018</em></strong></p>\n<ol>\n<li><a href=\" https://www.kaggle.com/jpmiller/nfl-punt-analytics\">NFL Punt Analytics</a></li>\n<li><a href=\"https://www.kaggle.com/robikscube/evolving-the-punt-play-nfl-data-formal-report\">Evolving the Punt Play - NFL Data Formal Report</a></li>\n<li><a href=\" https://www.kaggle.com/crawford/nfl-punt-analytics-starter-kernel\">NFL Punt Analytics Starter Kernel</a></li>\n</ol>",
      "rawMarkdown": "***NFL Big Data Bowl 2021:***\n1. <a href=\"https://www.kaggle.com/robikscube/nfl-big-data-bowl-plotting-player-position\">NFL Big Data Bowl - Plotting Player Position</a>\n2. <a href=\"https://www.kaggle.com/jpmiller/some-best-practices-for-analytics-reporting\">Some Best Practices for Analytics Reporting</a>\n3. <a href=\"https://www.kaggle.com/utkarshxy/object-detection-with-yolo-complete-theory-5mins\">Object Detection with YOLO| Complete Theory-5mins</a>\n4. <a href=\"https://www.kaggle.com/subinium/tips-for-making-the-informative-visualization\">Tips for making the Informative Visualization</a>\n5. <a href=\"https://www.kaggle.com/isaienkov/nfl-big-data-bowl-2021-eda\">NFL Big Data Bowl 2021. EDA</a>\n\n\n***NFL Big Data Bowl 2020***\n1. <a href=\"https://www.kaggle.com/bgmello/neural-networks-feature-engineering-for-the-win\">neural networks + feature engineering for the win</a>\n2. <a href=\"https://www.kaggle.com/dster/nfl-big-data-bowl-official-starter-notebook\">NFL Big Data Bowl Official Starter Notebook</a>\n3. <a href =\"https://www.kaggle.com/robikscube/nfl-big-data-bowl-plotting-player-position\">NFL Big Data Bowl - Plotting Player Position</a>\n4. <a href=\"https://www.kaggle.com/cpmpml/initial-wrangling-voronoi-areas-in-python\">initial wrangling & Voronoi areas in Python</a> \n5. <a href=\" https://www.kaggle.com/tombresee/next-gen-eda\">Next Gen EDA</a>\n6. <a href=\"https://www.kaggle.com/statsbymichaellopez/nfl-tracking-wrangling-voronoi-and-sonars\">NFL tracking: wrangling, Voronoi, and sonars</a> \n7. <a href=\"https://www.kaggle.com/mrkmakr/neural-network-with-mae-objective-0-01381\">neural network, with mae objective, 0.01381</a>\n\n\n***NFL 1st and Future - Analytics 2019***\n1. <a href=\"https://www.kaggle.com/robikscube/nfl-1st-and-future-analytics-intro\">NFL 1st and Future - Analytics Intro</a>\n2. <a htrf=\"https://www.kaggle.com/aleksandradeis/nfl-injury-analysis\">NFL Injury Analysis</a>\n3. <a href=\"https://www.kaggle.com/jaseziv83/an-analysis-of-nfl-injuries\">An Analysis of NFL Injuries</a>\n4. <a href=\"https://www.kaggle.com/jpmiller/nfl-1standfuture-report\">NFL 1standFuture Report</a>\n5. <a href=\"https://www.kaggle.com/philippsinger/nfl-playing-surface-analytics-the-zoo\">NFL Playing Surface Analytics: The Zoo</a>\n\n***NFL Punt Analytics Competition 2018***\n1. <a href=\" https://www.kaggle.com/jpmiller/nfl-punt-analytics\">NFL Punt Analytics</a>\n2. <a href=\"https://www.kaggle.com/robikscube/evolving-the-punt-play-nfl-data-formal-report\">Evolving the Punt Play - NFL Data Formal Report</a>\n3. <a href=\" https://www.kaggle.com/crawford/nfl-punt-analytics-starter-kernel\">NFL Punt Analytics Starter Kernel</a>\n\n\n\n",
      "votes": 5
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1528198": "***NFL Big Data Bowl 2021:***\n1. <a href=\"https://www.kaggle.com/robikscube/nfl-big-data-bowl-plotting-player-position\">NFL Big Data Bowl - Plotting Player Position</a>\n2. <a href=\"https://www.kaggle.com/jpmiller/some-best-practices-for-analytics-reporting\">Some Best Practices for Analytics Reporting</a>\n3. <a href=\"https://www.kaggle.com/utkarshxy/object-detection-with-yolo-complete-theory-5mins\">Object Detection with YOLO| Complete Theory-5mins</a>\n4. <a href=\"https://www.kaggle.com/subinium/tips-for-making-the-informative-visualization\">Tips for making the Informative Visualization</a>\n5. <a href=\"https://www.kaggle.com/isaienkov/nfl-big-data-bowl-2021-eda\">NFL Big Data Bowl 2021. EDA</a>\n\n\n***NFL Big Data Bowl 2020***\n1. <a href=\"https://www.kaggle.com/bgmello/neural-networks-feature-engineering-for-the-win\">neural networks + feature engineering for the win</a>\n2. <a href=\"https://www.kaggle.com/dster/nfl-big-data-bowl-official-starter-notebook\">NFL Big Data Bowl Official Starter Notebook</a>\n3. <a href =\"https://www.kaggle.com/robikscube/nfl-big-data-bowl-plotting-player-position\">NFL Big Data Bowl - Plotting Player Position</a>\n4. <a href=\"https://www.kaggle.com/cpmpml/initial-wrangling-voronoi-areas-in-python\">initial wrangling & Voronoi areas in Python</a> \n5. <a href=\" https://www.kaggle.com/tombresee/next-gen-eda\">Next Gen EDA</a>\n6. <a href=\"https://www.kaggle.com/statsbymichaellopez/nfl-tracking-wrangling-voronoi-and-sonars\">NFL tracking: wrangling, Voronoi, and sonars</a> \n7. <a href=\"https://www.kaggle.com/mrkmakr/neural-network-with-mae-objective-0-01381\">neural network, with mae objective, 0.01381</a>\n\n\n***NFL 1st and Future - Analytics 2019***\n1. <a href=\"https://www.kaggle.com/robikscube/nfl-1st-and-future-analytics-intro\">NFL 1st and Future - Analytics Intro</a>\n2. <a htrf=\"https://www.kaggle.com/aleksandradeis/nfl-injury-analysis\">NFL Injury Analysis</a>\n3. <a href=\"https://www.kaggle.com/jaseziv83/an-analysis-of-nfl-injuries\">An Analysis of NFL Injuries</a>\n4. <a href=\"https://www.kaggle.com/jpmiller/nfl-1standfuture-report\">NFL 1standFuture Report</a>\n5. <a href=\"https://www.kaggle.com/philippsinger/nfl-playing-surface-analytics-the-zoo\">NFL Playing Surface Analytics: The Zoo</a>\n\n***NFL Punt Analytics Competition 2018***\n1. <a href=\" https://www.kaggle.com/jpmiller/nfl-punt-analytics\">NFL Punt Analytics</a>\n2. <a href=\"https://www.kaggle.com/robikscube/evolving-the-punt-play-nfl-data-formal-report\">Evolving the Punt Play - NFL Data Formal Report</a>\n3. <a href=\" https://www.kaggle.com/crawford/nfl-punt-analytics-starter-kernel\">NFL Punt Analytics Starter Kernel</a>\n\n\n\n"
  }
}