participants received an easy-to-follow overview of how python language with libraries worked from start to finish.
They learned how to clean and prepare data, used basic statistics to understand it, explored common algorithms for making predictions, and saw how models actually “decided” on an answer.
By the end, they understood the key steps of a machine learning project well enough to teach them in their own classrooms.