Kevin Markham
Founder at Data School
Asheville, North Carolina, United States
Summary
🤩
Rockstar
Top expert inComprehensive Data Science and Machine Learning Skills
Kevin Markham is a data science educator and founder of Data School with 11 years of experience teaching Python and machine learning via blog posts, YouTube, and online courses. He authors popular hands-on Jupyter notebook series — notably pandas and scikit-learn videos on GitHub — and has contributed to scikit-learn’s official documentation as a technical writer. His teaching focuses on practical, readable examples and pipeline best practices, backed by thousands of hours creating curriculum and hundreds of hours in the classroom. Before Data School he led data science instruction at General Assembly and supported Coursera courses, bringing classroom-tested pedagogy to open-source learning resources. Based in Asheville, NC, he pairs engineering training with an unconventional background in fieldwork and nonprofit tech leadership, which surfaces in his clear, applied approach to data science education.
12 years of coding experience
Stackoverflow
5,879reputation
998kreached
14answers
5questions
dataframe
top-5%
scikit-learn
top-1%
nlp
top-1%
python
top-1%
machine-learning
top-1%
pandas
top-5%
Github Skills (57)
data-visualizations10
content-management-system10
documentations10
python10
list-comprehension10
data-science10
scikit10
user-manual10
pandas10
machine-learning10
selforganization10
data-visualisation10
file-io10
data-structure10
data-cleaning10
Programming languages (7)
Github contributions (5)
justmarkham/python-reference
May 2015 - Nov 2018
Python Quick Reference
Role in this project:
Technical Writer
Technical WriterContributions:18 commits, 2 PRs, 14 pushes in 3 years 6 months
Contributions summary:Kevin primarily focused on updating and improving the Python quick reference guide. Their commits involved renaming the reference, removing outdated sections, and updating the script for clarity and Python 3 compatibility. They also added a version of the guide in notebook format, showing a focus on content presentation.
tuplejupyter-bookpythonjupyter-notebooknltk
justmarkham/pandas-videos
Apr 2016 - May 2022
Jupyter notebook and datasets from the pandas video series
Role in this project:Data Scientist
Data ScientistContributions:87 commits, 2 PRs, 81 pushes in 6 years 2 months
Contributions summary:Kevin's commits indicate a focus on creating and documenting a pandas video series, including example code and datasets. Their work involves adding and updating Jupyter notebooks showcasing pandas functionalities, with a focus on data analysis, data cleaning, and data science topics. The contributions included the addition of video links and table of contents, demonstrating a strong understanding of pandas and its applications.
data-analysispythonpolarsdataframesdata-science
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