Tracking Impact and Measuring Success in Data Education Events
This post summarizes conversations surrounding these topics and provides resources to help you develop an impact strategy for your next event.
Data Umbrella
Community for underrepresented persons in data science.
Data Umbrella AFME1 Feb 2021 Scikit Learn Sprint Report
Reshama Shaikh - Summary of the Africa & Middle East, February 2021
Data Umbrella AFME1 2021 Sprint - My Experience with Open Source
Fortune Uwha shares her experience contributing to to scikit-learn for the first time.
Data Umbrella 2020 Online scikit-learn Sprint Report
Reshama Shaikh - Summary of the Global Online Sprint, June 2020
Review of the Data Umbrella Scikit-learn Online Sprint June 2020
Maren Westerman from Germany shares her experience contributing to open source.
Why You Should Contribute to Open Source as a Data Scientist
Cynthia Thinwa from Kenya shares her experience contributing to open source.
A Reflection on My First Open Source Contribution Sprint
Jake Tae shares his experience contributing to open source.
My Open Source Adventure
Joe Lucas shares his experience contributing to scikit-learn for the first time.
Time Series Modeling and Machine Learning Approaches with Python
Bruno Gonçalves - Explains a broad range of traditional machine learning (ML) and deep learning techniques to model and analyze time series datasets with an emphasis on practical applications.
