{ "id": 346415, "title": "Past Analytics Competitions and the Winners", "url": "/competitions/big-data-derby-2022/discussion/346415", "author_name": "", "post_date": "2022-08-19T09:29:07.436953800Z", "votes": 33, "comment_count": 5, "views": 0, "content": "

This comp looks extremely interesting. As a first step (before even diving into the data and getting my hands dirty), I wanted to look at past Analytics Competitions and research which notebooks won and why :)

\n

Here is the list, hope it helps!

\n", "messages": [ { "id": "1905768", "postDate": "08/19/2022 09:29:07", "content": "

This comp looks extremely interesting. As a first step (before even diving into the data and getting my hands dirty), I wanted to look at past Analytics Competitions and research which notebooks won and why :)

\n

Here is the list, hope it helps!

\n", "rawMarkdown": "This comp looks extremely interesting. As a first step (before even diving into the data and getting my hands dirty), I wanted to look at past Analytics Competitions and research which notebooks won and why :)\n\nHere is the list, hope it helps!\n\n* [WiDS Datathon 2022: Phase II Excellence in Research](https://www.kaggle.com/competitions/phase-ii-widsdatathon2022)\n * Goal: \"Participants will choose to explore one dataset among several, spanning sectors including healthcare, energy and environmental protection. Participants will also have opportunities to take deeper dives into their dataset and tackle a range of impactful real-world tasks.\"\n * Winners: Not Yet Announced?\n\n* [Kaggle Machine Learning & Data Science Survey](https://www.kaggle.com/competitions/kaggle-survey-2021)\n * Goal: \"Tell a data story about a subset of the data science community represented in this survey, through a combination of both narrative text and data exploration.\"\n * Winners: [Here](https://www.kaggle.com/competitions/kaggle-survey-2021/discussion/295401) are the winners for 2021, but the competition was also hosted in 2020, 2019, 2018, and 2017, so lots of resources here!\n\n* [NFL Big Data Bowl](https://www.kaggle.com/competitions/nfl-big-data-bowl-2022)\n * Goal: \"In this competition, you’ll quantify what happens on special teams plays. You might create a new special teams metric, quantify team or individual strategies, rank players, or even something we haven’t considered.\"\n * Winners: [Here](https://www.kaggle.com/competitions/nfl-big-data-bowl-2022/discussion/307969)\n * NFL has been having such competitions each year:\n * 2021: https://www.kaggle.com/competitions/nfl-big-data-bowl-2021\n * 2020: https://www.kaggle.com/competitions/nfl-playing-surface-analytics\n * 2019: https://www.kaggle.com/competitions/NFL-Punt-Analytics-Competition\n\n* [LearnPlatform COVID-19 Impact on Digital Learning](https://www.kaggle.com/competitions/learnplatform-covid19-impact-on-digital-learning)\n * Goal: \"We challenge the Kaggle community to explore (1) the state of digital learning in 2020 and (2) how the engagement of digital learning relates to factors such as district demographics, broadband access, and state/national level policies and events.\"\n * Winners: https://www.kaggle.com/competitions/learnplatform-covid19-impact-on-digital-learning/discussion/287019\n\n* [Acea Smart Water Analytics](https://www.kaggle.com/competitions/acea-water-prediction)\n * Goal: \"Can you build a story to predict the amount of water in each unique waterbody? The challenge is to determine how features influence the water availability of each presented waterbody.\"\n * Winners: https://www.kaggle.com/competitions/acea-water-prediction/discussion/229764\n\n* [CDP - Unlocking Climate Solutions](https://www.kaggle.com/competitions/cdp-unlocking-climate-solutions)\n * Goal: \"Develop a methodology for calculating key performance indicators (KPIs) that relate to the environmental and social issues that are discussed in the CDP survey data.\"\n * Winners: https://www.kaggle.com/competitions/cdp-unlocking-climate-solutions/discussion/204739\n\n* [March Madness Analytics](https://www.kaggle.com/competitions/march-madness-analytics-2020)\n * Goal: \"In addition to the predictive modeling competitions we typically host (NCAA Men's and Women’s), we are hosting a separate competition using Kaggle Notebooks that challenges you to present an exploratory analysis of the “Madness.” Can you quantify competitiveness?\"\n * Winners: https://www.kaggle.com/competitions/march-madness-analytics-2020/discussion/152203\n\n* [DS4G - Environmental Insights Explorer](https://www.kaggle.com/competitions/ds4g-environmental-insights-explorer)\n * Goal: \"Develop a methodology to calculate an average historical emissions factor of electricity generated for a sub-national region, using remote sensing data and techniques.\"\n * Winners: https://www.kaggle.com/competitions/ds4g-environmental-insights-explorer/discussion/141822\n\n* [Data Science for Good: City of Los Angeles](https://www.kaggle.com/competitions/data-science-for-good-city-of-los-angeles)\n * Goal: \"Help the City of Los Angeles to structure and analyze its job descriptions.\"\n * Winners: https://www.kaggle.com/competitions/data-science-for-good-city-of-los-angeles/discussion/98155\n\n* [Data Science for Good: CareerVillage.org](https://www.kaggle.com/competitions/data-science-for-good-careervillage)\n * Goal: \"In this Data Science for Good challenge, CareerVillage.org, in partnership with Google.org, is inviting you to help recommend questions to appropriate volunteers.\"\n * Winners: https://www.kaggle.com/competitions/data-science-for-good-careervillage/discussion/91103", "votes": null }, { "id": "1906313", "postDate": "08/19/2022 18:55:11", "content": "

Great collation of highly useful materials!! Much appreciated!!

", "rawMarkdown": "Great collation of highly useful materials!! Much appreciated!!", "votes": null }, { "id": "1908989", "postDate": "08/22/2022 07:37:24", "content": "

Your article has given me a lot of insight.
\nVery much appreciated!!

", "rawMarkdown": "Your article has given me a lot of insight.\nVery much appreciated!!", "votes": null }, { "id": "1909146", "postDate": "08/22/2022 11:24:01", "content": "

Hi Folks,

\n

Hope you all are doing great .
\nNow a days I am working on a recommendation system ,which will give recommendation to lawyers related some key points about their assigned cases. But I am facing difficulties in gathering data .Because such type of articles/facts which I am searching related to justice system of INDIA is quiet less. Any suggestions or references is highly appreciable. If possible share your precious thoughts on this.

", "rawMarkdown": "Hi Folks,\n\nHope you all are doing great .\nNow a days I am working on a recommendation system ,which will give recommendation to lawyers related some key points about their assigned cases. But I am facing difficulties in gathering data .Because such type of articles/facts which I am searching related to justice system of INDIA is quiet less. Any suggestions or references is highly appreciable. If possible share your precious thoughts on this.", "votes": null }, { "id": "1911487", "postDate": "08/24/2022 06:07:50", "content": "

Good collection - appreciate the efforts :)

", "rawMarkdown": "Good collection - appreciate the efforts :)", "votes": null }, { "id": "1953731", "postDate": "09/24/2022 17:36:29", "content": "

Thank you for sharing @andradaolteanu

", "rawMarkdown": "Thank you for sharing @andradaolteanu", "votes": null } ], "comments": [ { "id": 1906313, "author_name": "ravi20076", "author_url": "", "post_date": "08/19/2022 18:55:11", "content": "

Great collation of highly useful materials!! Much appreciated!!

", "votes": null, "replies": [] }, { "id": 1908989, "author_name": "sungjunghwan", "author_url": "", "post_date": "08/22/2022 07:37:24", "content": "

Your article has given me a lot of insight.
\nVery much appreciated!!

", "votes": null, "replies": [] }, { "id": 1909146, "author_name": "soumendraprasad", "author_url": "", "post_date": "08/22/2022 11:24:01", "content": "

Hi Folks,

\n

Hope you all are doing great .
\nNow a days I am working on a recommendation system ,which will give recommendation to lawyers related some key points about their assigned cases. But I am facing difficulties in gathering data .Because such type of articles/facts which I am searching related to justice system of INDIA is quiet less. Any suggestions or references is highly appreciable. If possible share your precious thoughts on this.

", "votes": null, "replies": [] }, { "id": 1911487, "author_name": "nitinchoudhary012", "author_url": "", "post_date": "08/24/2022 06:07:50", "content": "

Good collection - appreciate the efforts :)

", "votes": null, "replies": [] }, { "id": 1953731, "author_name": "pankajkumar2002", "author_url": "", "post_date": "09/24/2022 17:36:29", "content": "

Thank you for sharing @andradaolteanu

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1905768": "This comp looks extremely interesting. As a first step (before even diving into the data and getting my hands dirty), I wanted to look at past Analytics Competitions and research which notebooks won and why :)\n\nHere is the list, hope it helps!\n\n* [WiDS Datathon 2022: Phase II Excellence in Research](https://www.kaggle.com/competitions/phase-ii-widsdatathon2022)\n * Goal: \"Participants will choose to explore one dataset among several, spanning sectors including healthcare, energy and environmental protection. Participants will also have opportunities to take deeper dives into their dataset and tackle a range of impactful real-world tasks.\"\n * Winners: Not Yet Announced?\n\n* [Kaggle Machine Learning & Data Science Survey](https://www.kaggle.com/competitions/kaggle-survey-2021)\n * Goal: \"Tell a data story about a subset of the data science community represented in this survey, through a combination of both narrative text and data exploration.\"\n * Winners: [Here](https://www.kaggle.com/competitions/kaggle-survey-2021/discussion/295401) are the winners for 2021, but the competition was also hosted in 2020, 2019, 2018, and 2017, so lots of resources here!\n\n* [NFL Big Data Bowl](https://www.kaggle.com/competitions/nfl-big-data-bowl-2022)\n * Goal: \"In this competition, you’ll quantify what happens on special teams plays. You might create a new special teams metric, quantify team or individual strategies, rank players, or even something we haven’t considered.\"\n * Winners: [Here](https://www.kaggle.com/competitions/nfl-big-data-bowl-2022/discussion/307969)\n * NFL has been having such competitions each year:\n * 2021: https://www.kaggle.com/competitions/nfl-big-data-bowl-2021\n * 2020: https://www.kaggle.com/competitions/nfl-playing-surface-analytics\n * 2019: https://www.kaggle.com/competitions/NFL-Punt-Analytics-Competition\n\n* [LearnPlatform COVID-19 Impact on Digital Learning](https://www.kaggle.com/competitions/learnplatform-covid19-impact-on-digital-learning)\n * Goal: \"We challenge the Kaggle community to explore (1) the state of digital learning in 2020 and (2) how the engagement of digital learning relates to factors such as district demographics, broadband access, and state/national level policies and events.\"\n * Winners: https://www.kaggle.com/competitions/learnplatform-covid19-impact-on-digital-learning/discussion/287019\n\n* [Acea Smart Water Analytics](https://www.kaggle.com/competitions/acea-water-prediction)\n * Goal: \"Can you build a story to predict the amount of water in each unique waterbody? The challenge is to determine how features influence the water availability of each presented waterbody.\"\n * Winners: https://www.kaggle.com/competitions/acea-water-prediction/discussion/229764\n\n* [CDP - Unlocking Climate Solutions](https://www.kaggle.com/competitions/cdp-unlocking-climate-solutions)\n * Goal: \"Develop a methodology for calculating key performance indicators (KPIs) that relate to the environmental and social issues that are discussed in the CDP survey data.\"\n * Winners: https://www.kaggle.com/competitions/cdp-unlocking-climate-solutions/discussion/204739\n\n* [March Madness Analytics](https://www.kaggle.com/competitions/march-madness-analytics-2020)\n * Goal: \"In addition to the predictive modeling competitions we typically host (NCAA Men's and Women’s), we are hosting a separate competition using Kaggle Notebooks that challenges you to present an exploratory analysis of the “Madness.” Can you quantify competitiveness?\"\n * Winners: https://www.kaggle.com/competitions/march-madness-analytics-2020/discussion/152203\n\n* [DS4G - Environmental Insights Explorer](https://www.kaggle.com/competitions/ds4g-environmental-insights-explorer)\n * Goal: \"Develop a methodology to calculate an average historical emissions factor of electricity generated for a sub-national region, using remote sensing data and techniques.\"\n * Winners: https://www.kaggle.com/competitions/ds4g-environmental-insights-explorer/discussion/141822\n\n* [Data Science for Good: City of Los Angeles](https://www.kaggle.com/competitions/data-science-for-good-city-of-los-angeles)\n * Goal: \"Help the City of Los Angeles to structure and analyze its job descriptions.\"\n * Winners: https://www.kaggle.com/competitions/data-science-for-good-city-of-los-angeles/discussion/98155\n\n* [Data Science for Good: CareerVillage.org](https://www.kaggle.com/competitions/data-science-for-good-careervillage)\n * Goal: \"In this Data Science for Good challenge, CareerVillage.org, in partnership with Google.org, is inviting you to help recommend questions to appropriate volunteers.\"\n * Winners: https://www.kaggle.com/competitions/data-science-for-good-careervillage/discussion/91103", "1906313": "Great collation of highly useful materials!! Much appreciated!!", "1908989": "Your article has given me a lot of insight.\nVery much appreciated!!", "1909146": "Hi Folks,\n\nHope you all are doing great .\nNow a days I am working on a recommendation system ,which will give recommendation to lawyers related some key points about their assigned cases. But I am facing difficulties in gathering data .Because such type of articles/facts which I am searching related to justice system of INDIA is quiet less. Any suggestions or references is highly appreciable. If possible share your precious thoughts on this.", "1911487": "Good collection - appreciate the efforts :)", "1953731": "Thank you for sharing @andradaolteanu" }, "source": "meta" }