cambridgespark / pydata-testing-for-data-scienceLinks
☆25Updated last year
Alternatives and similar repositories for pydata-testing-for-data-science
Users that are interested in pydata-testing-for-data-science are comparing it to the libraries listed below
Sorting:
- ☆47Updated 6 years ago
- Material for Talk at PyData Seattle 2017☆168Updated 7 years ago
- An easy to use waterfall chart function for Python☆164Updated 4 years ago
- scikit-learn-inspired time series☆201Updated last year
- Time should be taken seer-iously☆319Updated 2 years ago
- Tutorial given at PyData LA 2018☆97Updated last year
- PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3☆161Updated 5 years ago
- Added repo for PyData LA 2018 tutorial☆88Updated 7 years ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆327Updated 5 years ago
- Tutorial for PyData London 2019 on AB Test by cluster☆13Updated 6 years ago
- ☆136Updated 6 years ago
- Tutorial Sessions for SciPy Con 2019☆278Updated 2 weeks ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 5 years ago
- Reference package for unit tests☆49Updated 7 years ago
- ☆98Updated 7 years ago
- Example Python DS project☆71Updated 7 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆169Updated 5 years ago
- ☆155Updated 5 years ago
- Data Analysis Baseline Library☆133Updated last year
- edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab☆225Updated 6 years ago
- Hierarchical Time Series Forecasting with a familiar API☆226Updated 2 years ago
- Data Analysis Baseline Library☆727Updated last year
- Experimenting with and teaching probabilistic programming☆105Updated 3 years ago
- Production Data Science: a workflow for collaborative data science aimed at production☆456Updated 5 years ago
- Test-Driven Data Analysis Functions☆303Updated 2 weeks ago
- Materials for "Parallelizing Scientific Python with Dask"☆70Updated 7 years ago
- Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.☆102Updated 6 years ago
- Notebooks for the Altair tutorial☆363Updated 5 years ago
- Utility functions used in the DataCamp Statistical Thinking courses.☆48Updated 4 years ago
- A collection of Bayesian data analysis recipes using PyMC3☆561Updated 2 years ago