Working as a Core Developer in the Scikit-Learn Universe - Guillaume Lemaître
737: scikit-learn's Past, Present and Future — with scikit-learn co-founder Dr. Gaël Varoquaux
EuroSciPy 2023 - My foray from Scientific Python into the Pyodide / WebAssembly universe
Jake VanderPlas: Machine Learning with Scikit Learn
An Introduction to scikit-learn: Machine Learning in Python
Anders Bogsnes - A Worked Intro to Scikit-learn
Machine Learning for Brain Imaging - Gael Varoquaux creator of Scikit Learn
How to Win Developers’ Hearts with Highly Productive Tools - Francois Chollet
How to use GitHub Codespaces for Coding and Data Science
Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib)
How I use Machine Learning as a Data Analyst
Building an agile AI research-to-production experience - GitHub Universe 2018
Erin Shellman: Bot or Not
Talk: Pratyush Das - Python in High Energy Physics
What I Love & Hate About Dask | Matt Rocklin | ODSC 2022
Complete Machine Learning In 6 Hours| Krish Naik
Bridging the Chasm Between Research & Software Development • Linda Stougaard Nielsen • GOTO 2022
Supervised vs Unsupervised vs Reinforcement Learning | Machine Learning Tutorial | Simplilearn
Richard Pelgrim - Data Science at Scale with Dask | PyData London 2022
Demystifying Machine and Deep Learning for Developers : Build 2018
