Ilinca Barsan A Guide To Data Science As A Creative Discipline | Pydata Nyc 2022

Ilinca Barsan A Guide to Data Science as a Creative Discipline | PyData NYC 2022

Joe Gartner: Addressing the Scarcity of Data Scientist | PyData Austin 2019

Bridging Data and Business - Sylvia Lee | PyData Global 2021

Martin Hirzel- Fairness for Scikit-Learn Pipelines with Lale | PyData NYC 2022

Diego Torres Quintanilla - How we upstreamed our internal goals to JupyterLab 4 | PyData NYC 2022

Kshetrajna Raghavan- Using Interconnected ML Models to Tackle Retail Challenges | PyData NYC 2022

Alexandra Wörner: A data scientist's guide to code reviews

Estefania Barreto-Ojeda - Applications in ML Drug Discovery pipelines | PyData NYC 2022

LIVE: Data Science Q&A

Fabio Pliger- PyScript & Data Science- PyData stack on the Browser | PyData NYC 2022

Benjamin Batorsky: Bagging to BERT- A tour of applied NLP | PyData NYC 2022

Roy Kishony: Quibbler: Your Data - Interactive! | PyData Tel Aviv 2022

Love Your (Data Scientist) Neighbour - Amy Wooding | PyData Global 2021

Noa Tamir: Professional Development and Career Progression for Data Scientists | PyData Berlin 2019

Keynote - Chris Wiggins, Anne Bauer: Data science at The New York Times | PyData NYC 2019

Going Full Stack with Data Science: Using Technical Readiness... - Emily Gorcenski

Dr. Tania Allard: Practical DevOps for the busy data scientist | PyData Berlin 2019

Upskilling Success Story Of A Freelancer Ekta Data Science Course Simplilearn Reviews