data-sourcing

Data sourcing involves identifying and acquiring datasets needed for analysis or model training. This can include collecting data from internal systems, third-party providers, public datasets, or web scraping. Effective data sourcing is crucial for ensuring the quality and relevance of the data used in data science and machine learning projects.