bgweber / DS_ProductionLinks
☆155Updated 5 years ago
Alternatives and similar repositories for DS_Production
Users that are interested in DS_Production are comparing it to the libraries listed below
Sorting:
- Advanced Machine Learning with Scikit-learn part II☆164Updated 5 years ago
- Tutorial given at PyData LA 2018☆96Updated last year
- Material for Talk at PyData Seattle 2017☆168Updated 7 years ago
- A short tutorial for data scientists on how to write tests for code + data.☆121Updated 5 years ago
- ☆295Updated 6 years ago
- Experimenting with and teaching probabilistic programming☆107Updated 3 years ago
- Advanced Machine Learning with Scikit-learn part I☆143Updated 5 years ago
- ☆101Updated 7 years ago
- Intermediate Machine Learning with Scikit-learn, 4h interactive workshop☆130Updated 4 years ago
- Introduction to Machine learning with Python, 4h interactive workshop☆315Updated 5 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 8 years ago
- Guide on creating an API for serving your ML model☆65Updated 3 years ago
- Data Analysis Baseline Library☆133Updated last year
- Production Data Science: a workflow for collaborative data science aimed at production☆457Updated 5 years ago
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated last year
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH☆160Updated 5 years ago
- Tutorial for a new versioning Machine Learning pipeline☆80Updated 4 years ago
- Added repo for PyData LA 2018 tutorial☆88Updated 7 years ago
- edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab☆225Updated 6 years ago
- Using Kafka-Python to illustrate a ML production pipeline☆112Updated 3 years ago
- Python data science and machine learning from Ted Petrou with Dunder Data☆55Updated 3 years ago
- Collected opinions and advice for academic programs focused on data science skills.☆438Updated 5 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆166Updated 7 years ago
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆104Updated 2 weeks ago
- Learn how to build a data analysis library from scratch☆209Updated 4 years ago
- An easy to use waterfall chart function for Python☆164Updated 5 years ago
- Personal repository of data science demonstrations and references☆78Updated 3 years ago
- ☆103Updated 2 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆240Updated 8 months ago
- Resources for Data Science Process management☆206Updated 6 years ago