diff --git a/contrib/machine-learning/ensemble_learning.md b/contrib/machine-learning/ensemble-learning.md
similarity index 98%
rename from contrib/machine-learning/ensemble_learning.md
rename to contrib/machine-learning/ensemble-learning.md
index 940bd09..508f45e 100644
--- a/contrib/machine-learning/ensemble_learning.md
+++ b/contrib/machine-learning/ensemble-learning.md
@@ -137,4 +137,4 @@ print("Classification Report:\n", classification_report(y_test, y_pred))
 ```
 
 ## Conclusion
-Ensemble Learning is a powerful technique that combines multiple models to improve overall performance. By leveraging the strengths of different models, it provides better accuracy, robustness, and generalization. However, it comes with increased complexity and computational cost. Understanding and implementing ensemble methods can significantly enhance machine learning solutions.
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+Ensemble Learning is a powerful technique that combines multiple models to improve overall performance. By leveraging the strengths of different models, it provides better accuracy, robustness, and generalization. However, it comes with increased complexity and computational cost. Understanding and implementing ensemble methods can significantly enhance machine learning solutions.