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.
Recommend and justify the optimal machine learning model for a given dataset and problem, considering various constraints and performance metrics.
Generate a foundational outline for a simple classification model, including data preparation and algorithm selection.
Generate a basic cleaning process for numerical datasets, including handling missing values and outliers.
