ianozsvald / data_science_deliveredLinks
Observations from Ian on successfully delivering data science products
☆543Updated 4 years ago
Alternatives and similar repositories for data_science_delivered
Users that are interested in data_science_delivered are comparing it to the libraries listed below
Sorting:
- ☆263Updated 5 years ago
- ☆411Updated 7 years ago
- DePy 2015 Talk☆117Updated 7 years ago
- A library for defensive data analysis.☆500Updated 5 years ago
- ☆317Updated 4 years ago
- Tools for exploratory data analysis in Python☆646Updated last year
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆490Updated 7 years ago
- PyData Seattle 2015: Python Data Bikeshed☆127Updated 9 years ago
- ☆160Updated 8 years ago
- A guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support☆261Updated 7 years ago
- Compiled, automatically parallel Python for data science☆491Updated 8 years ago
- Content for architecting a data science platform for products using Luigi, Spark & Flask.☆163Updated 5 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆225Updated 4 years ago
- PyData NYC 2015 conference☆94Updated 9 years ago
- A fork of the cookiecutter-data-science leveraging Docker for local development.☆131Updated 5 years ago
- Directory of Jupyter notebooks exploring various topics☆316Updated 8 years ago
- PyData, The Complete Works of☆299Updated 8 years ago
- Some sample IPython notebooks for scikit-learn☆567Updated last year
- ☆212Updated 9 years ago
- Scikit-Learn tutorial material for Scipy 2015☆575Updated 9 years ago
- Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.☆467Updated 3 months ago
- a web application framework for python☆832Updated 3 years ago
- Machine Learning Problem Bible | Problem Set Here >>☆715Updated 5 years ago
- Framework for setting up predictive analytics services☆488Updated 2 years ago
- Standard evaluations for binary classifiers so you don't have to☆315Updated 6 years ago
- Pandas tutorial for SciPy2015 and SciPy2016 conference☆142Updated 8 years ago
- Compiled Decision Trees for scikit-learn☆224Updated last month
- ☆190Updated last year
- Scikit-Learn Tutorial for PyData Seattle 2015☆137Updated 9 years ago
- General Assembly's Data Science course in Washington, DC☆233Updated 11 months ago