**Welcome to the 2023 Kaggle Playground Series!** Thank you to everyone who participated in and contributed to Season 3 Playground Series so far! 

**Your Goal:** For this Episode of the Series, your task is to use binary classification to predict a patient's smoking status given information about various other health indicators. 

But here’s the twist: alongside traditional models like XGBoost, we invite you to try out NdLinear — a new drop-in replacement for nn.Linear that improves generalization while reducing parameters, FLOPs, and memory. It works across MLPs, Transformers, RNNs, and more.

Get started here:
🔗 https://github.com/ensemble-core/NdLinear

⭐️ Star the repo and test NdLinear in your neural network implementations — we’d love to see creative approaches that challenge the usual tree-based baselines!

Good luck, and have fun experimenting!