What is the impact of normalization on machine learning models?

What is the impact of normalization on machine learning models?

Normalization helps in scaling the features, which can improve the performance and convergence speed of models.

Can you explain why scaling features is important?

Scaling ensures that all features contribute equally to the distance calculations, preventing bias towards larger values.

Are there different methods of normalization?

Yes, common methods include Min-Max scaling, Z-score normalization, and Robust scaling, each serving different purposes.

How does normalization affect model accuracy?

Normalization can significantly enhance model accuracy by reducing overfitting and improving generalization on unseen data.