Welcome to this year's March Madness® Women's Division I Tournament competition, in official partnership with Google Cloud & NCAA®. The Men's Division I Tournament competition is also available to enter separately.
\n\nTake a close look at the Timeline, Data & Evaluation pages, which explain how this ML competition works a bit differently from your standard bracket challenge.
\n\nUntil Selection Monday®, the data for Stage 1 will be previous year's data, with which you can train your models on predicting prior years' results. These results are to help you enhance your models, and will reflect on the leaderboard, but the leaderboard will start fresh for this year's tournament. Once the bracket has been finalized, we will provide updated data and a sample submission file for you to predict this year's field, and we'll update the scores as the games conclude!
\n\nAlso this year, we're excited to challenge you with a new (separate) analytics challenge. Can you use data to predict the \"competitiveness\" of teams that often contribute to the madness? We're excited to see the Notebooks you come up with to demonstrate what this may look like, and how to articulate what keeps people on the edge of their seat. Click here for more details
\n\nEnjoy, and let the madness begin!
", "messages": [ { "id": 746436, "postDate": "2020-02-15T02:15:17.273Z", "content": "Welcome to this year's March Madness® Women's Division I Tournament competition, in official partnership with Google Cloud & NCAA®. The Men's Division I Tournament competition is also available to enter separately.
\n\nTake a close look at the Timeline, Data & Evaluation pages, which explain how this ML competition works a bit differently from your standard bracket challenge.
\n\nUntil Selection Monday®, the data for Stage 1 will be previous year's data, with which you can train your models on predicting prior years' results. These results are to help you enhance your models, and will reflect on the leaderboard, but the leaderboard will start fresh for this year's tournament. Once the bracket has been finalized, we will provide updated data and a sample submission file for you to predict this year's field, and we'll update the scores as the games conclude!
\n\nAlso this year, we're excited to challenge you with a new (separate) analytics challenge. Can you use data to predict the \"competitiveness\" of teams that often contribute to the madness? We're excited to see the Notebooks you come up with to demonstrate what this may look like, and how to articulate what keeps people on the edge of their seat. Click here for more details
\n\nEnjoy, and let the madness begin!
", "rawMarkdown": "Welcome to this year's March Madness® Women's Division I Tournament competition, in official partnership with Google Cloud & NCAA®. The [Men's Division I Tournament competition][1] is also available to enter separately.\n\nTake a close look at the [Timeline][2], [Data][3] & [Evaluation][4] pages, which explain how this ML competition works a bit differently from your standard bracket challenge.\n\nUntil Selection Monday®, the data for Stage 1 will be previous year's data, with which you can train your models on predicting prior years' results. These results are to help you enhance your models, and will reflect on the leaderboard, but the leaderboard will start fresh for this year's tournament. Once the bracket has been finalized, we will provide updated data and a sample submission file for you to predict this year's field, and we'll update the scores as the games conclude!\n\nAlso this year, we're excited to challenge you with a new (separate) analytics challenge. Can you use data to predict the \"competitiveness\" of teams that often contribute to the madness? We're excited to see the Notebooks you come up with to demonstrate what this may look like, and how to articulate what keeps people on the edge of their seat. Click [here](https://www.kaggle.com/c/march-madness-analytics-2020) for more details\n\nEnjoy, and let the madness begin!\n\n\n [1]: https://www.kaggle.com/c/google-cloud-ncaa-march-madness-2020-division-1-mens-tournament/\n [2]: https://www.kaggle.com/c/google-cloud-ncaa-march-madness-2020-division-1-womens-tournament#timeline\n [3]: https://www.kaggle.com/c/google-cloud-ncaa-march-madness-2020-division-1-womens-tournament/data\n [4]: https://www.kaggle.com/c/google-cloud-ncaa-march-madness-2020-division-1-womens-tournament#evaluation", "votes": 2 } ], "comments": [], "raw_markdown_by_id": { "746436": "Welcome to this year's March Madness® Women's Division I Tournament competition, in official partnership with Google Cloud & NCAA®. The [Men's Division I Tournament competition][1] is also available to enter separately.\n\nTake a close look at the [Timeline][2], [Data][3] & [Evaluation][4] pages, which explain how this ML competition works a bit differently from your standard bracket challenge.\n\nUntil Selection Monday®, the data for Stage 1 will be previous year's data, with which you can train your models on predicting prior years' results. These results are to help you enhance your models, and will reflect on the leaderboard, but the leaderboard will start fresh for this year's tournament. Once the bracket has been finalized, we will provide updated data and a sample submission file for you to predict this year's field, and we'll update the scores as the games conclude!\n\nAlso this year, we're excited to challenge you with a new (separate) analytics challenge. Can you use data to predict the \"competitiveness\" of teams that often contribute to the madness? We're excited to see the Notebooks you come up with to demonstrate what this may look like, and how to articulate what keeps people on the edge of their seat. Click [here](https://www.kaggle.com/c/march-madness-analytics-2020) for more details\n\nEnjoy, and let the madness begin!\n\n\n [1]: https://www.kaggle.com/c/google-cloud-ncaa-march-madness-2020-division-1-mens-tournament/\n [2]: https://www.kaggle.com/c/google-cloud-ncaa-march-madness-2020-division-1-womens-tournament#timeline\n [3]: https://www.kaggle.com/c/google-cloud-ncaa-march-madness-2020-division-1-womens-tournament/data\n [4]: https://www.kaggle.com/c/google-cloud-ncaa-march-madness-2020-division-1-womens-tournament#evaluation" } }