Data preparation

Crucial step in the data analysis process, involving the cleaning, transforming, and organizing of raw data into a format suitable for analysis. It includes tasks such as data collection, cleaning, transformation, integration, reduction, validation, and splitting, which ensure the quality and reliability of the data for subsequent analysis or modeling. Data preparation is essential for data scientists, analysts, and machine learning practitioners who aim to improve the performance of their models and the accuracy of their insights.