practice

Data science practice projects are hands-on applications of data science concepts and techniques to solve real-world problems. They involve collecting, cleaning, analyzing, and interpreting data to extract insights and make informed decisions.

These projects are essential for data scientists as they provide an opportunity to apply their skills in a practical setting, develop their problem-solving abilities, and enhance their understanding of the data science process.