Update README.md

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README.md

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-LinearBoost is a fast and accurate classification algorithm built to enhance the performance of the linear classifier SEFR. It combines efficiency and accuracy, delivering state-of-the-art F1 scores and classification performance.
+## 🧪 Quickstart Demo
+
+Want to see how LinearBoost works in practice?
 
+➡️ [**Run the demo notebook**](notebooks/demo_linearboost_usage.ipynb)
 
-[📓 Demo Notebook: How to Use LinearBoost](notebooks/demo_linearboost_usage.ipynb)
+This Jupyter notebook shows how to:
+- Load and prepare data
+- Train `LinearBoostClassifier`
+- Evaluate using F1 score and cross-validation
+
+LinearBoost is a fast and accurate classification algorithm built to enhance the performance of the linear classifier SEFR. It combines efficiency and accuracy, delivering state-of-the-art F1 scores and classification performance.
 
 In benchmarks across seven well-known datasets, LinearBoost: