Countless companies are either working on machine learning projects or are dreaming of using the technology as quickly as possible. However, over time, many of these ambitious projects don’t deliver the desired outcome. This is often due to the poor quality of the available data that is fed into the algorithms. “Garbage in, garbage out” is an iron law in the field of machine learning. That’s why data scientists are of crucial importance in any machine learning project. They analyze and clean the data, transform it into the desired format with the required quality.