klemag / pydataLDN_2019-maintainable-code-for-data-scienceLinks
☆47Updated 6 years ago
Alternatives and similar repositories for pydataLDN_2019-maintainable-code-for-data-science
Users that are interested in pydataLDN_2019-maintainable-code-for-data-science are comparing it to the libraries listed below
Sorting:
- ☆25Updated last year
- Added repo for PyData LA 2018 tutorial☆88Updated 7 years ago
- Experimenting with and teaching probabilistic programming☆107Updated 3 years ago
- Python data science and machine learning from Ted Petrou with Dunder Data☆55Updated 3 years ago
- A short tutorial for data scientists on how to write tests for code + data.☆121Updated 5 years ago
- An easy to use waterfall chart function for Python☆164Updated 5 years ago
- Tutorial given at PyData LA 2018☆97Updated last year
- ☆155Updated 5 years ago
- Pytest for Data Science Beginners☆59Updated 7 years ago
- Tutorial for PyData London 2019 on AB Test by cluster☆13Updated 6 years ago
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH☆160Updated 5 years ago
- Applied Machine Learning with Python☆80Updated last year
- Material for Talk at PyData Seattle 2017☆168Updated 7 years ago
- scikit-learn-inspired time series☆201Updated last year
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- Advanced Machine Learning with Scikit-learn part II☆164Updated 5 years ago
- Up Your Bus Number: A Primer for Reproducible Data Science☆69Updated 6 years ago
- ☆101Updated 7 years ago
- Advanced Machine Learning with Scikit-learn part I☆144Updated 5 years ago
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆117Updated last year
- Tutorial covering a new workflow available going from pandas to scikit-learn☆40Updated 3 years ago
- ☆98Updated 7 years ago
- Example usage of scikit-hts☆57Updated 3 years ago
- Intermediate Machine Learning with Scikit-learn, 4h interactive workshop☆129Updated 4 years ago
- Explorations of survival analysis in Python☆50Updated 2 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆86Updated last year
- Introduction to Statistical Modeling with Python (PyCon 2017)☆169Updated 5 years ago
- Learn how to build a data analysis library from scratch☆209Updated 3 years ago
- Python library that represents empirical distribution functions.☆173Updated 7 months ago
- ☆15Updated 3 years ago