Data Quality and Data Cleaning
Data Quality and Data Cleaning are crucial aspects of data science that involve assessing and improving the quality, consistency, and reliability of data. Let’s explore each concept: Data quality and data cleaning are iterative processes and are typically performed as initial steps in data preprocessing before analysis or model building. They play a crucial role […]