deniederhut / Pandas-Tutorial-SciPyConf-2018Links
☆48Updated 7 years ago
Alternatives and similar repositories for Pandas-Tutorial-SciPyConf-2018
Users that are interested in Pandas-Tutorial-SciPyConf-2018 are comparing it to the libraries listed below
Sorting:
- Reproducible Data Analysis Workflow in Jupyter☆118Updated 6 years ago
- A repository for public storage of slides given at the 17th Python in Science Conferences (2018)☆134Updated 6 years ago
- Python data science and machine learning from Ted Petrou with Dunder Data☆55Updated 2 years ago
- SciPy 2017 Pandas Tutorial☆160Updated 4 years ago
- A Little Book of Python for Multivariate Analysis☆87Updated 9 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆225Updated 4 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆168Updated 4 years ago
- Advanced Machine Learning with Scikit-learn part I☆141Updated 5 years ago
- Repository for an online class on Exploratory Data Analysis in Python☆66Updated 5 years ago
- Code material for a data science tutorial☆197Updated 8 years ago
- Material for 'Interactive Data Visualization with HoloViews & Bokeh' SciPy tutorial☆47Updated 2 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆164Updated 6 years ago
- Material for the pandas tutorial at EuroScipy 2016☆208Updated 7 years ago
- PyData NYC 2017: Pandas Head to Tail☆57Updated 7 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 8 years ago
- Data Science for Good Projects☆49Updated 6 years ago
- A Primer on Python for Statistical Programming and Data Science☆26Updated 6 years ago
- Intermediate Machine Learning with Scikit-learn, 4h interactive workshop☆127Updated 4 years ago
- Advanced Machine Learning with Scikit-learn part II☆163Updated 5 years ago
- A python tutorial on bayesian modeling techniques (PYMC3)☆20Updated 9 years ago
- ☆101Updated 7 years ago
- ☆86Updated 7 years ago
- For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8