Machine Learning Competition with $5000 Prize from Kaggle

Kaggle is now accepting works for the 8th edition of the March Machine Learning Mania Competition. Another year, another chance to predict the upsets, call the probabilities, and put your bracketology skills to the leaderboard test.

About the Competition:-

• In its eighth annual March Machine Learning Mania competition, Kagglers will once again join the millions of fans who attempt to predict the outcomes of this year's US women's college basketball tournament. But unlike most fans, you will pick the winners and losers using a combination of rich historical data and computing power, while the ground truth unfolds on television. 
• You're provided data of historical NCAA games and are encouraged to use other sources of publicly available data to gain a winning edge.
• In stage one of this two-stage competition, participants will build and test their models against previous tournaments. 
• In the second stage, participants will predict the outcome of the 2022 tournament.

The first five places get $5000 each.

The competition consists of two stages. You don’t need to participate in the first stage to enter the second. The first stage exists to incentivize model building and provide a means to score predictions. The real competition is forecasting the 2022 results.

Competition Timeline:-

• Stage 1 - Model Building
• Monday, Mar 13 - Prior to this deadline, competitors build and test models on historical data. The leaderboard shows the model performance on historical tournament outcomes.
• Stage 2 - Championship
• Sunday, Mar 13 - Selection Show® (68 teams announced)
• Tuesday, Mar 15 - Kaggle begins to accept 2022 predictions. Release of up-to-date 2021-2022 season data.
• Friday, Mar 18 3PM UTC - Final deadline to submit 2022 predictions.
• Mar 18 onward - Watch your tournament results play out! The Kaggle Team will refresh the leaderboard throughout the competition as games are finalized.
• All deadlines are at 11:59 PM UTC on the corresponding day unless otherwise noted. The organizers reserve the right to update the contest timeline if they deem it necessary.

About Kaggle:-

Kaggle, a subsidiary of Google LLC, is an online community of data scientists and machine learning practitioners. Kaggle got its start in 2010 by offering machine learning competitions and now also offers a public data platform, a cloud-based workbench for data science, and Artificial Intelligence education. Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

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