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.
  ☆77Updated last year
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆51Updated last year
• ContextLab / storytelling-with-data
  Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).
  ☆104Updated 11 months ago
• sudharshan-ashok / pycovid
  Python package to easily access the most updated Coronavirus data using Python/PIP
  ☆59Updated 4 years ago
• statsthinking21 / statsthinking21-python
  Python companion for Statistical Thinking in the 21st Century
  ☆73Updated 3 months ago
• amueller / aml
  Applied Machine Learning with Python
  ☆76Updated 9 months ago
• tdpetrou / Advent-of-Code-Pandas
  ☆22Updated 2 years ago
• bradleyfay / Causal-Inference-for-Data-Scientists
  Notebooks of Python and R code which illustrates basic causal inference using simulated data
  ☆23Updated 5 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• reshamas / ds_resources
  Data Science Resources
  ☆78Updated 3 weeks ago
• amueller / sklearn-one-day
  One day workshop for machine learning with scikit-learn
  ☆63Updated last year
• amueller / ml-workshop-short
  Two hour interactive machine learning workshop
  ☆22Updated 4 years ago
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆90Updated 4 months ago
• veekaybee / til
  Today I Learned Some Computer Stuff
  ☆39Updated 6 years ago
• wimlds / starter-kit
  A starter kit for new chapters of WiMLDS
  ☆42Updated last month
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 6 years ago
• machow / tidytuesday-py
  ☆33Updated 4 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated last year
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 6 years ago
• pymc-devs / pymc-data-umbrella
  Website: Data Umbrella & PyMC open source sessions
  ☆27Updated 7 months ago
• charlesfrye / psych101d
  Course materials for PSYCH101-D. "Data Science for Research Psychology"
  ☆10Updated 2 years ago
• itsgorain / 100DaysOfNLP
  I will be putting notebooks created for #100daysofnlp here
  ☆19Updated 4 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 5 years ago
• aschleg / hypothetical
  Hypothesis and statistical testing in Python
  ☆64Updated 4 years ago
• willkurt / ProbAndStats-PyDataNYC2019
  Introduction to Probability and Statistics
  ☆56Updated 2 years ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆49Updated 6 years ago
• Dpananos / Categorical-Features
  A tutorial in impact encoding for categorical features
  ☆11Updated 6 years ago
• lesteve / euroscipy-2019-scikit-learn-tutorial
  ☆29Updated 5 years ago