justmarkham/DAT8 resource

Health v2 · maintenance only

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1620 stars · 1053 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Course materials for General Assembly's 2015 Data Science course in Washington, DC, taught by Kevin Markham. It contains Jupyter notebooks covering data cleaning, visualization, machine learning with scikit-learn, NLP, and model evaluation.

Use cases

• learn data science with python and pandas
• intro to machine learning with scikit-learn
• learn model evaluation and cross-validation
• learn natural language processing basics
• practice data cleaning and exploratory data analysis
• self-study a full data science curriculum
• learn linear and logistic regression in python

When to choose

• you want a structured, beginner-friendly data science course with runnable notebooks
• you learn well from classroom-style materials with exercises and projects
• you want free coverage of pandas, scikit-learn, and NLP fundamentals

When to avoid

• you need up-to-date tooling or modern Python 3 practices (material dates to 2015 and uses Python 2)
• you want deep theoretical treatment rather than practical introductions
• you need actively maintained or supported course content

Facets

learning-resource · maturity maintenance

machine-learning data-science nlp data-visualization web-scraping data-science machine-learning tutorials python cross-platform jupyter-notebooks scikit-learn pandas course-materials general-assembly kevin-markham data-school natural-language-processing

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