Updated the #NBA roster turnover app. The inverse correlation between roster turnover and wins has held up in the last couple of years.
app: https://t.co/NPCAFYCVft
code: https://t.co/RmJAaaM6uf
In a new hands-on tutorial, @arvkevi explores the possibilities of scikit-learn's new TunedThresholdClassifierCV class and ways to use it for decision threshold optimization. https://t.co/XkQ31RMrVX
Learn how you can leverage scikit-learn's TunedThresholdClassifierCV class to optimize a decision threshold โ @arvkevi walks us through the process step by step, and offers both potential use cases and the necessary code. https://t.co/XkQ31RMrVX
Interested in #genetics and #ML?
Check out this community competition on @kaggle. The task is to predict individuals' ancestry using the 1000 Genomes Project.
It's an approachable tabular dataset!
https://t.co/3QED1CwSAx
The season is over, so many teams have taken their pages down temporarily. But you can select dates as far back as September.
Code, issues, and suggestions:
https://t.co/PFP7yqYuGX
Create @Spotify playlists from @MLB#walkup songs with this @streamlit app:
https://t.co/jGS2gQ6KnG
Our kids' first ballpark experience was this fall. They danced to almost every walkup song and requested to listen to them when we got home.
@svpino@AkkioHQ Do you think there will be โChat Data Prepโ pipelines?
It would be interesting to export the prompt and compare the reproducibility w/ different random seeds.
Thanks for sharing @svpino