Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines techniques from statistics, machine learning, data analysis, and domain knowledge to inform decision-making.
A data pipeline is a series of data processing steps that involve the collection, processing, and transformation of data from one system to another.
Cross-validation is a technique used to assess the performance of a machine learning model by dividing the data into multiple subsets (folds).
The Receiver Operating Characteristic (ROC) curve is a graphical representation of a classifier’s performance across different threshold values.