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Suggestions on Machine Learning Course Projects

This webpage will be updated.

(1) Solve open problems (data) posted in (domestic/international) data science competitions

Competition Type Download Webpage
http://contest.kbig.kr/ Movie Attendance Prediction Data Request to Professor
Insurance Fraud Detection Data Request to Professor
Baseball Prediction Data Request to Professor
http://crowd.kbig.kr/ Disease Prediction Data Request to Professor webpage
Optimized Advertisement Data Request to Professor webpage
https://www.kaggle.com/ Kaggle Competitions webpage
Kaggle Datasets webpage
https://gallery.cortanaintelligence.com/competitions Decoding Brain Signal webpage
Womens Health Risk Assessment webpage
Real-time Crime Forecasting Comeptition webpage
BTW 2017 Data Science Challenge (Calls → Data Science Challenge) webpage

(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/
* Develop and compare reinforcement learning algorithms * You can use several environments supported from the library. Please see the list from https://gym.openai.com/envs
(4) Game
VizDoom AI Competition ( http://vizdoom.cs.put.edu.pl/ ) Project Malmo
https://www.microsoft.com/en-us/research/project/project-malmo/
You can use reinforcement learning to train “unit control” of StarCraft AI players on usemap settings (without terrain and with small number of units). You can use open game data (from STEAM API, BWREPLAYs.com and LoL API).
(5) Financial Forecasting
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
(6) Art
Learn to compose music 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


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