👉 Reseeded is a concept in data science and machine learning, which refers to a method of generating new data from existing data. It involves using random numbers or other techniques to replace old data with new data that has not been seen before. In the context of data science, reseeded data is often used to create synthetic datasets for testing and evaluation purposes. This can be useful in situations where traditional data generation methods may result in biased or inaccurate results. Reseeded data can also be used
