trenton3983/DataCamp
Python-based Jupyter notebooks, notes, and project solutions from DataCamp courses on data science, machine learning, and statistics.
This collection of Jupyter notebooks provides executable solutions and notes for DataCamp courses on data science, machine learning, and statistics. It helps learners practice and review course material outside of DataCamp's interactive environment. Learners can input the course problems and data (linked within the notebooks) to get structured code solutions and explanations, serving as a comprehensive study aid.
Use this if you are taking DataCamp courses and want offline, executable notebooks to review, practice, or store your course solutions and notes.
Not ideal if you prefer only using DataCamp's interactive browser environment or are looking for original data science projects rather than course-specific solutions.
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Jupyter Notebook
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Last pushed
Dec 17, 2025
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