manifoldai / docker-cookiecutter-data-scienceLinks
A fork of the cookiecutter-data-science leveraging Docker for local development.
☆131Updated 5 years ago
Alternatives and similar repositories for docker-cookiecutter-data-science
Users that are interested in docker-cookiecutter-data-science are comparing it to the libraries listed below
Sorting:
- Common data science and data engineering utilities to help us perform analytics. Our toolbox for data scientists, licensed under Apache-2…☆30Updated 7 years ago
- Example Python DS project☆71Updated 7 years ago
- Accelerate data science☆116Updated 4 years ago
- Push and pull data files like code☆175Updated 2 years ago
- ☆316Updated 4 years ago
- Deploy AutoML as a service using Flask☆226Updated 8 years ago
- scikit-learn-compatible estimators from Civis Analytics☆59Updated 3 years ago
- Material for Talk at PyData Seattle 2017☆168Updated 7 years ago
- Dockerfiles for images used as part of the Orbyter toolset☆44Updated last year
- ☆136Updated 5 years ago
- A short tutorial for data scientists on how to write tests for code + data.☆120Updated 5 years ago
- Content for architecting a data science platform for products using Luigi, Spark & Flask.☆163Updated 5 years ago
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- Magic functions for using Jupyter Notebook with Apache Spark and a variety of SQL databases.☆171Updated 6 years ago
- edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab☆225Updated 5 years ago
- ☆50Updated 6 years ago
- Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.☆519Updated 3 months ago
- ☆31Updated 9 years ago
- Summarise and explore Pandas DataFrames☆98Updated 5 years ago
- Deep Learning for Pugs☆74Updated 8 years ago
- ☆30Updated 7 years ago
- autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset w…☆170Updated 5 years ago
- Using Project Jupyter for data science.☆259Updated 4 years ago
- Reproducible Data Analysis Workflow in Jupyter☆118Updated 7 years ago
- Leveling up your Jupyter notebook skills☆78Updated 7 years ago
- An easy to use waterfall chart function for Python☆162Updated 4 years ago
- Exploratory code to see if we can learn about feature relationships in a DataFrame using machine learning☆55Updated 5 years ago
- A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.☆213Updated 7 years ago
- Speedml is a Python package to speed start machine learning projects.☆211Updated 5 years ago
- Interactive plotting for Pandas using Vega-Lite☆344Updated 6 years ago