Hello /r/machinelearning,
I play in an recreational/upper skill level basketball league in Portland. The people that run the league track games by recording the final score (as well as what week/season/year, and the team names obviously). I thought it might be neat to try and develop an algorithm that can determine most ideal team match-ups based on past performance, so I asked the league if they had historical data, and if they would be willing to share.
The league got back to me right away and gave me a CSV file of data going back 4 years for approximately ~200 teams over a number of different leagues/skill levels.
Given that I don't have many parameters to work with (final score, date and team names), and that I'm just starting to learn about machine learning (I'm a mechanical engineer by trade, just dipping my toes into the water regarding software, I know a little R, but I'm more familiar with Python), I was hoping that /r/machinelearning would give me some ideas on where to start.
Any input would be greatly appreciated!
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