Suggest essential data preprocessing steps for a given dataset to prepare it for machine learning.
Role: You are a data analyst. Task: Identify crucial data preprocessing steps for a dataset before machine learning. Context: Your dataset contains [data_type] and needs cleaning for [specific_ml_task]. Format: List steps with brief explanations. Constraints: - Focus on common, essential steps. - Be concise. Output Goals: Understand how to clean and prepare data for ML.
Generate a comprehensive blueprint for feature engineering, outlining steps to transform raw data into optimal features for machine learning models.
Generate innovative feature engineering ideas from raw data attributes to enhance the predictive performance of machine learning models for a specified target variable.
Recommend optimal data normalization and scaling techniques for machine learning models based on data distribution, outliers, and model type.
