There are no reviews yet. Be the first to send feedback to the community and the maintainers!
data-science-stack-cookiecutter
🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)beyond-jupyter
🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)distribution-cheatsheet
📈📄👀A lookup repo for a variety of discrete and continuous distributions (incl. Beta, Binomial, Cauchy, Chi-squared, Geometric, Hypergeometric, Normal & Poisson)beyond-jupyter-mooc
All the material from the Udemy course "Beyond Jupyter Notebooks"corona-hackathon
🦠🤖🧪#WirVsVirus Corona-Crisis Hackathon - organized by the German government. SWAG (Smart Workforce Allocator Germany) helps to mitigate this imbalance and directly connects employer and employees, building on the principles ease of use, flexibility & optimized allocation.advanced-statistics
Source code for the module "Advanced Statistics" 📊meetif.ai
🥶👫🕸Social Knowledge Graph based on data from meetup.com to generate conversation opening iceabreakers (based on RDF(S), RML, Neo4j & other Technologies)PySchool
Crossover Python Learning Materialt-47
🧱📦🚀LEGO assembly data and knowledge graph for the T-47 Airspeeder set (incl. Data Set, Knowledeg Gaph & custom Plugins)CI-testing
Testing a CI Pipelinemetabolic-query-generator
🤖🧠❓Exam Preparation Query Generator around Human Biology and Metabolic Pathways, such as "What does FBP stand for?' or "Which enzyme is responsible for the transformation from glucose to glucose?"Superstack
Data Science & Visualization starter kitnlp-feature-extractor
Feature extractors for NLPml-homework
Homework from ML-classMarchMadness
NCAA March Madness Competition 2018SportsPrediction
Predicting Sport Event outcomes.whatsapp_language_model
t-47-procedures
👾🕸🧮Custom Neo4j procedures to ease the construction of and interaction with the T-47 knowledge graphProgramming-for-DataScience
Datascience Exercises in R & PythonLove Open Source and this site? Check out how you can help us