Practical Data Science using Python - ML-Data and CRISP-DM

The video tutorial provides an overview of data science and machine learning, explaining their relationship and the various tools and techniques involved. It discusses different types of data sources, such as social, machine, and transactional data, and their significance in data science. The tutorial also outlines the data science project lifecycle, highlighting the CRISP-DM model and its phases, including business understanding, data preparation, modeling, evaluation, and deployment.

What new insight or understanding did you gain from this video?