justinbois / dc_stat_think

Related projects ⓘ

Alternatives and complementary repositories for dc_stat_think

• chrispaulca / waterfall
  An easy to use waterfall chart function for Python
  ☆160Updated 3 years ago
• tdpetrou / Minimally-Sufficient-Pandas
  There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.
  ☆83Updated 2 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆167Updated 4 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆103Updated 2 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated last year
• altair-viz / altair_notebooks
  Tutorial and Examples Jupyter Notebooks for Altair
  ☆223Updated 3 years ago
• klemag / pydataLDN_2019-maintainable-code-for-data-science
  ☆47Updated 5 years ago
• martindurant / dask-tutorial-scipy-2018
  Materials for "Parallelizing Scientific Python with Dask"
  ☆71Updated 6 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆117Updated 4 years ago
• TomAugspurger / pandas-head-to-tail
  ☆87Updated 6 years ago
• ZaxR / pandas_multiindex_tutorial
  An in-depth introduction to Pandas' MultiIndexes and practical code snippets
  ☆55Updated 6 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 7 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 3 months ago
• tdpetrou / pandas_cub
  Learn how to build a data analysis library from scratch
  ☆203Updated 2 years ago
• ChakriCherukuri / mlviz
  Visualizations of machine learning models and algorithms
  ☆116Updated 2 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 6 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆270Updated 7 years ago
• ryanmark1867 / deep_learning_for_structured_data
  Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…
  ☆72Updated 2 years ago
• deniederhut / Pandas-Tutorial-SciPyConf-2018
  ☆48Updated 6 years ago
• jcrouser / islr-python
  ☆108Updated 3 years ago
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆58Updated 6 years ago
• AllenDowney / empiricaldist
  Python library that represents empirical distribution functions.
  ☆159Updated last month
• kirit93 / NumpyTutorial
  Notebooks for tutorial on Numpy.
  ☆61Updated 4 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆52Updated 2 years ago
• elzurdo / multi_objective_optimisation
  Material for learning and practicing the technique of multi-objective optimisation
  ☆56Updated last month
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆155Updated 4 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆51Updated last year
• cambridgespark / pydata-testing-for-data-science
  ☆25Updated 5 months ago
• jakevdp / JupyterWorkflow
  Reproducible Data Analysis Workflow in Jupyter
  ☆117Updated 6 years ago
• altair-viz / altair-tutorial
  Notebooks for the Altair tutorial
  ☆351Updated 4 years ago