KjellSchubert / cheatsheets
personal cheatsheets on various technologies
☆25Updated 8 years ago
Alternatives and similar repositories for cheatsheets:
Users that are interested in cheatsheets are comparing it to the libraries listed below
- Latency numbers every data scientist should know (aka the pyramid of analytical tasks) - the order of magnitude of computational time for…☆20Updated 7 years ago
- Apache Spark under Docker☆9Updated 8 years ago
- Proposals for new Jupyter subprojects to enter into incubation☆18Updated 4 years ago
- Apache Zeppelin on Kubernetes.☆28Updated 5 years ago
- Code examples supporting the "Introduction to Apache Spark" video published by O'Reilly Media☆37Updated 2 years ago
- Materials for dask talk at PyData NYC☆15Updated 9 years ago
- A simple example of containerized data science with python and Docker.☆51Updated 6 years ago
- A browser based R Notebook☆125Updated 11 years ago
- Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016☆26Updated 8 years ago
- My talk at Strata 2014 in Santa Clara, CA☆73Updated 10 years ago
- Deploy an interactive data science environment with JupyterHub on Docker Swarm☆21Updated 8 years ago
- Docker images for data science from Wise.io☆50Updated 8 years ago
- Articles on Data Science, Jupyter, and Pandas☆18Updated 9 years ago
- Spark Tutorial at the University of Maryland☆38Updated 10 years ago
- Materials for Strata Singapore "Machine learning In Python with scikit-learn" tutorial.☆9Updated 9 years ago
- ☆23Updated 7 years ago
- A collection of data science examples implemented across a variety of languages and libraries.☆33Updated 9 years ago
- Mirror of Apache Zeppelin (Incubating)☆45Updated 8 years ago
- Apache Toree quickstart tutorial☆29Updated 8 years ago
- training material☆47Updated 3 months ago
- A web service for discovery of destinations matching your expected weather conditions (and hints on how to get there).☆32Updated 8 years ago
- The code for the in memory data pipeline that was presented at Berlin Buzzwords 2015.☆10Updated 9 years ago
- A collection of efficient utilities for a data scientist.☆41Updated 9 years ago
- Simple validator for submissions to DrivenData competitions☆19Updated 5 years ago
- An example project for doing grid search in MLlib☆13Updated 10 years ago
- Size of datasets used for analytics based on 10 years of surveys by KDnuggets.☆16Updated 9 years ago
- ☆82Updated 12 years ago
- These are the IPython notebook files for the CSC 432 Spring '13 course.☆23Updated 9 years ago
- Data Science box: Spark, Jupyter, R+RStudio, Zeppelin, Python 2 & 3, Java, Scala.☆39Updated 6 years ago
- Code and setup information for Introduction to Machine Learning with Spark☆12Updated 9 years ago