Alternatives and similar repositories for Readings

Users that are interested in Readings are comparing it to the libraries listed below

• COGS108 / Tutorials
  Introductory tutorial notebooks for learning data science, as part of the Data Science in Practice materials.
  ☆81Updated 6 months ago
• ContextLab / storytelling-with-data
  Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).
  ☆113Updated last year
• statsthinking21 / statsthinking21-python
  Python companion for Statistical Thinking in the 21st Century
  ☆74Updated last year
• reshamas / ds_resources
  Data Science Resources
  ☆80Updated 7 months ago
• amueller / sklearn-one-day
  One day workshop for machine learning with scikit-learn
  ☆63Updated 2 years ago
• sudharshan-ashok / pycovid
  Python package to easily access the most updated Coronavirus data using Python/PIP
  ☆59Updated 5 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• jphall663 / GWU_rml
  ☆39Updated 6 months ago
• machow / tidytuesday-py
  ☆34Updated 5 years ago
• AllenDowney / BiteSizeBayes
  An introduction to Bayesian statistics using Python and (coming soon) R.
  ☆134Updated 2 years ago
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 6 years ago
• EricSchles / datascience_book
  ☆133Updated last year
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆95Updated last year
• 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.
  ☆89Updated 3 years ago
• veekaybee / til
  Today I Learned Some Computer Stuff
  ☆39Updated 7 years ago
• willkurt / ProbAndStats-PyDataNYC2019
  Introduction to Probability and Statistics
  ☆56Updated 3 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆39Updated 3 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated 2 years ago
• charlesfrye / AppliedStatisticsForNeuroscience
  Materials for UC Berkeley Neuroscience 299
  ☆53Updated 5 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• COGS108 / Overview
  Overview and map of the organization, for the UCSD course COGS108: Data Science in Practice.
  ☆148Updated last month
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• aschleg / hypothetical
  Hypothesis and statistical testing in Python
  ☆65Updated 5 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• martinagvilas / tutorial-jupyterbook-with-turing-way
  A draft of the JupyterBook / The Turing Way tutorial for the JupyterCon 2020
  ☆16Updated 4 years ago
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆21Updated 8 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆54Updated 3 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆52Updated 4 years ago
• AllenDowney / BayesianDecisionAnalysis
  Repository for a workshop on Bayesian Decision Analysis
  ☆74Updated 2 years ago
• fairlearn / talks
  Talks / presentations / tutorials about Fairlearn and fairness in ML
  ☆22Updated 3 years ago