data-folks/data-science-learning-path

This repository is a curated data-science learning guide, not an executable software product. Its primary workflow is for a learner to follow linked resources from foundational programming and mathematics through machine learning, evaluation, and application topics. The README also lists deep learning, deployment, and book references as further learning areas. There are no source excerpts, so the map reflects documented curriculum sections and makes no claims about runtime behavior or internal implementation.