Building an NBA Model using Advanced NBA Stats - Part 1
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In this video, we begin building an NBA model by first scraping advanced NBA stats from a very popular website, basketball-reference.com. We then save the data in a CSV file and open it in an Excel spreadsheet. This is part 1 of a two part series describing how to build an NBA model to predict game outcomes.
Пікірлер: 9
Love the straight forward and detailed explanation of your python code, so helpful
@KerrySportsAnalyst
17 күн бұрын
Hi Water! I'm glad you like the video. I try to explain code in the easiest way possible. Especially the tricky parts. Cheers!
You brought together two of the things I love most: Sports and coding. I'm about to do it for the NFL
@KerrySportsAnalyst
14 күн бұрын
Hi BR! You speak my language. I love coding, sports, and analytics. Cheers!
I was hoping you’d do something for NBA or MLB after watching your NFL videos. Thanks for sharing!
@KerrySportsAnalyst
14 күн бұрын
Hey there MD! I had to do March Madness and NBA. Looking forward to upgrading my NFL analysis. Cheers!
good stuff, you can also do the following team_df = team_df.astype({'G': int, 'OPts': int, 'DPts': int, 'ORtg': float, 'DRtg': float, 'Pace': float}) intead of writing in line by line :-)
@KerrySportsAnalyst
17 күн бұрын
Hi Cobb! Wow! That certainly makes sense and is much cleaner. Thanks for sharing! Btw, I'm still planning on posting a video on an NBA ML model. It will probably be posted in a couple weeks. Cheers!
@Cobbtrades
3 күн бұрын
When is part 2 coming? Thanks