Data from the real world are never perfectly balanced. In this episode I explain a simple yet effective trick to train models with very unbalanced data. Enjoy the show!
 
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References
<ul><li>Leo Breiman, <a href='https://link.springer.com/content/pdf/10.1023/A:1010933404324.pdf'>Random Forests</a>, 2001</li>
<li>C. Chen, A. Liaw, L. Breiman, <a href='https://statistics.berkeley.edu/tech-reports/666'>Using Random Forest to Learn Imbalanced Data</a> (2004)</li>
</ul>

Pandas vs Rust [RB] (Ep. 158)

Cutting through AI bullsh*t.Come join the discussion on Discord! https://discord.gg/4UNKGf3