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Hands-on introduction to using Git and GitHub together to create, copy, fork, sync, and update repositories.
Learn to scrape a web page with Python, parse its HTML with Beautiful Soup, build a dataset, and export it as a CSV.
Learn to interpret confusion matrices, ROC curves, and AUC while applying machine learning in Python to a Kaggle prediction challenge.
Learn to build, compare, tune, and evaluate machine learning models in Python using scikit-learn, including cross-validation and text classification.
A question-driven pandas series using real datasets to teach practical data analysis, manipulation, and visualization workflows.
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