Data Umbrella 2020 Online scikit-learn Sprint Report
Reshama Shaikh - Summary of the Global Online Sprint, June 2020
Data Umbrella
Community for underrepresented persons in data science.
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.
Bayesian Data Science by Simulation
Hugo Bowne-Anderson - Explains Bayesian data science through the lens of simulation.
