Fundamental prompts for essential data preparation. Address missing values, engineer new features, and apply data scaling to ready your data for analysis and modeling.
Get recommendations for appropriate data scaling or normalization methods based on your dataset characteristics and model requirements.
Brainstorm simple ideas for creating new, useful features from existing numerical or categorical columns in your dataset to enhance model performance.
Receive suggestions for basic methods to address missing values in your dataset, such as removal or simple imputation techniques.
