What are the applications of normalization in data processing?
Normalization is used to adjust values in datasets to a common scale, improving data integrity and analysis.
Can you give me some specific examples of where normalization is applied?
Sure! It's commonly used in database design, machine learning, and data mining to enhance model performance.
How does normalization affect machine learning models?
Normalization helps in speeding up the training process and improving the accuracy of models by ensuring features contribute equally.
Are there different types of normalization techniques?
Yes, common techniques include min-max scaling, z-score normalization, and decimal scaling, each serving different purposes.
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