datacamp-python-data-science-track

Why we included this project

Trying to pick up pandas, scikit-learn, or NLP on your own usually means collecting bits and pieces from a dozen tutorials. This repo gathers the slides, example code, and exercise notebooks from DataCamp's Data Scientist with Python track, with each course filed in its own folder so you can jump straight to cleaning data, visualization, or machine learning topics instead of digging through a mixed pile. It covers the whole track, from importing data through pandas foundations and Bokeh to neural networks and tokenization. It is a study archive rather than software you install, built for learners who want worked examples to follow and for instructors and self-taught developers who like ready-made material as a starting point for their own code.