APBRmetrics

Hi,
so I decided to make public some of my work on player prediction, together with a dataset. I think it would be a good idea to collaborate with some people and exchange ideas.

I therefore made a Kaggle dataset page in
https://www.kaggle.com/vzografos/nba-pl ... s-19502019

which comes together with some Python code to perform player predictions for the NBA regular season 2020.

If anyone is interested in having a look please go ahead and download the files and try them.
I would be interested in some new ideas how to tackle this problem.

Best
Vasileios

I can't get anything at that link to work sorry

Mike G wrote: ↑Mon Jun 29, 2020 11:28 am I can't get anything at that link to work sorry

What do you mean exactly?
Does the link open or not?

Well, I seem to have downloaded the files. But I don't see how to open them.
In Notepad, I get player names and a bunch of hieroglyphs.

Mike G wrote: ↑Wed Jul 01, 2020 11:29 pm Well, I seem to have downloaded the files. But I don't see how to open them.
In Notepad, I get player names and a bunch of hieroglyphs.

Yes I see. This is because they are not text files but SQL binary files. I had written some notes together with the dataset. You will need some software to view them if you wish. One really good, small and free software is https://sqlitebrowser.org/

The resason I am using SQL files is that I want to maintain the relations of data between tables. So for example we can ensure we have unique players and track their stats.

Did you download the python program as well?