Generate a foundational outline for a simple classification model, including data preparation and algorithm selection.
Role: You are a machine learning beginner. Task: Outline the basic steps to build a classification model for a given dataset. Context: You have a dataset about [dataset_topic] and want to predict [target_variable]. Format: Provide a step-by-step outline. Constraints: - Keep it high-level and simple. - Focus on the core stages. Output Goals: Understand the fundamental process of classification.
Generate innovative feature engineering ideas from raw data attributes to enhance the predictive performance of machine learning models for a specified target variable.
Develop a robust strategy for identifying and handling outliers in complex datasets, ensuring data integrity and reliable analysis for various business objectives.
Generate a structured outline for developing a churn prediction model, including data sources, methodology, and key metrics.
