Get recommendations for appropriate data scaling or normalization methods based on your dataset characteristics and model requirements.
Task: Recommend a suitable data scaling or normalization method. Context: My dataset has numerical features, and I am preparing it for a [type_of_model, e.g., neural network, SVM] model. The data distribution for column '[example_column]' is [distribution_type, e.g., skewed, normal]. Output Goal: Suggest one primary method and explain why it's suitable, mentioning any alternatives.
Recommend optimal data normalization and scaling techniques for machine learning models based on data distribution, outliers, and model type.
Get a clear, concise explanation of database normalization, including its purpose and common normal forms.
