Structured Data

Structured data refers to information organized in a predefined format, typically stored in rows and columns within databases and spreadsheets. While this organization is crucial for clarity, it also presents unique challenges in machine learning, requiring sophisticated strategies to effectively interpret and utilize the data. Despite these complexities, structured data remains pivotal in driving machine learning applications, including predictive analytics, customer segmentation, churn prediction, and financial modeling. These applications leverage structured data to deliver precise predictions and actionable insights, enhancing decision-making processes in business environments.