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public:course:ml_projects [2016/10/10 10:18] kimkj |
public:course:ml_projects [2019/08/01 17:34] (current) |
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| ^ Competition ^ Type ^ Download ^ Webpage ^ | ^ Competition ^ Type ^ Download ^ Webpage ^ | ||
| - | | http://contest.kbig.kr/ | Movie Attendance Prediction | {{:public:course:futures_data.zip | download}} | | | + | | http://contest.kbig.kr/ | Movie Attendance Prediction | Data Request to Professor | | |
| - | | ::: | Insurance Fraud Detection | {{ :public:course:futures_data.zip | download}} | | | + | | ::: | Insurance Fraud Detection | Data Request to Professor | | |
| - | | http://crowd.kbig.kr/ | Disease Prediction | {{ :public:course:disease.zip | download}} | {{ http://crowd.kbig.kr/kaggle/idea_list.php?qsrno=2 |webpage }} | | + | | ::: | Baseball Prediction | Data Request to Professor | | |
| - | | ::: | Optimized Advertisement | {{ :public:course:advertisement.zip |download}} | {{ http://crowd.kbig.kr/kaggle/idea_list.php?qsrno=3 | webpage}} | | + | | http://crowd.kbig.kr/ | Disease Prediction | Data Request to Professor | {{ http://crowd.kbig.kr/kaggle/idea_list.php?qsrno=2 |webpage }} | |
| + | | ::: | Optimized Advertisement | Data Request to Professor | {{ http://crowd.kbig.kr/kaggle/idea_list.php?qsrno=3 | webpage}} | | ||
| | https://www.kaggle.com/ | Kaggle Competitions | | {{https://www.kaggle.com/competitions | webpage }} | | | https://www.kaggle.com/ | Kaggle Competitions | | {{https://www.kaggle.com/competitions | webpage }} | | ||
| | ::: | Kaggle Datasets | | {{https://www.kaggle.com/competitions | webpage}}| | | ::: | Kaggle Datasets | | {{https://www.kaggle.com/competitions | webpage}}| | ||
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| | Real-time Crime Forecasting Comeptition | | | {{http://nij.gov/funding/Pages/fy16-crime-forecasting-challenge.aspx?utm_source=KDNuggets&utm_medium=Ad&utm_content=Email&utm_campaign=ForecastingChallenge#importantdates| webpage }} | | | Real-time Crime Forecasting Comeptition | | | {{http://nij.gov/funding/Pages/fy16-crime-forecasting-challenge.aspx?utm_source=KDNuggets&utm_medium=Ad&utm_content=Email&utm_campaign=ForecastingChallenge#importantdates| webpage }} | | ||
| | BTW 2017 Data Science Challenge (Calls -> Data Science Challenge) | | | {{ http://btw2017.informatik.uni-stuttgart.de/?pageId=CallForDSChallenge&language=en | webpage }} | | | BTW 2017 Data Science Challenge (Calls -> Data Science Challenge) | | | {{ http://btw2017.informatik.uni-stuttgart.de/?pageId=CallForDSChallenge&language=en | webpage }} | | ||
| + | | Udacity Self-Driving Car Prediction Challenge | | | {{ https://medium.com/udacity/challenge-2-using-deep-learning-to-predict-steering-angles-f42004a36ff3#.yvvp933vl | webpage }} | | ||
| + | | Yelp Dataset Challenge | | | {{ https://www.yelp.com/dataset_challenge | webpage }} | | ||
| - | **(2) Teach agents using OpenAI Gym ** \\ | + | **(2) Yahoo Research Dataset ** \\ |
| + | |||
| + | http://webscope.sandbox.yahoo.com/ | ||
| + | |||
| + | **(3) Teach agents using OpenAI Gym ** \\ | ||
| You can download reinforcement learning library from https://gym.openai.com/ \\ | You can download reinforcement learning library from https://gym.openai.com/ \\ | ||
| Line 24: | Line 31: | ||
| * You can use several environments supported from the library. Please see the list from https://gym.openai.com/envs | * You can use several environments supported from the library. Please see the list from https://gym.openai.com/envs | ||
| - | **(3) Game ** \\ | + | **(4) Game ** \\ |
| VizDoom AI Competition ( http://vizdoom.cs.put.edu.pl/ ) | VizDoom AI Competition ( http://vizdoom.cs.put.edu.pl/ ) | ||
| Line 35: | Line 42: | ||
| You can use open game data (from STEAM API, BWREPLAYs.com and LoL API). | You can use open game data (from STEAM API, BWREPLAYs.com and LoL API). | ||
| - | **(4) Financial Forecasting ** \\ | + | **(5) Financial Forecasting ** \\ |
| - | Stock Market Index (Up/Down, Binary Classification) Prediction | + | Stock Market Index (Up/Down, Binary Classification) Prediction \\ |
| + | - https://www.kaggle.com/c/the-winton-stock-market-challenge \\ | ||
| Exhange Rate (Up/Down, Binary Classification) Prediction | Exhange Rate (Up/Down, Binary Classification) Prediction | ||
| - | **(5) Art ** \\ | + | **(6) Art ** \\ |
| Learn to compose music | Learn to compose music | ||
| Learn to draw/style images (e.g., neural styling for art) | Learn to draw/style images (e.g., neural styling for art) | ||
| + | **(7) Stanford Machine Learning Course Project Samples ** \\ | ||
| + | |||
| + | http://cs229.stanford.edu/projects2016spr.html \\ | ||
| + | http://cs229.stanford.edu/projects2015.html \\ | ||
| + | http://cs229.stanford.edu/projects2014.html \\ | ||
