[s5e6] Keep It One Hundred -

Using Optuna for automated hyperparameter tuning. 💡 Key Insights So Far

I’m currently diving into the latest ! The challenge is all about refining models to push the limits of performance. Here’s a breakdown of my current workflow and some key takeaways: 🛠️ The Tech Stack Models: Testing a blend of XGBoost, LightGBM, and CatBoost. [S5E6] Keep it One Hundred

If you need help with a for feature engineering Using Optuna for automated hyperparameter tuning

The target is a top 5% finish! It’s all about those marginal gains and robust validation. [S5E6] Keep it One Hundred

Stick to a 5-fold or 10-fold Stratified CV to ensure the model isn't just chasing noise.