Alternatives and similar repositories for stat-cookbook

Users that are interested in stat-cookbook are comparing it to the libraries listed below

• markdregan / Bayesian-Modelling-in-Python
  A python tutorial on bayesian modeling techniques (PyMC3)
  ☆2,503Updated 8 years ago
• amitkaps / hackermath
  Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
  ☆1,450Updated 7 years ago
• rougier / from-python-to-numpy
  An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017
  ☆2,088Updated last month
• avehtari / BDA_py_demos
  Bayesian Data Analysis demos for Python
  ☆1,016Updated last year
• wzchen / probability_cheatsheet
  A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
  ☆3,096Updated 3 years ago
• aloctavodia / Statistical-Rethinking-with-Python-and-PyMC3
  Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
  ☆853Updated 5 years ago
• justmarkham / DAT8
  General Assembly's 2015 Data Science course in Washington, DC
  ☆1,614Updated last year
• aloctavodia / Doing_bayesian_data_analysis
  Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
  ☆903Updated 3 years ago
• hal3 / ciml
  A Course in Machine Learning
  ☆901Updated 2 years ago
• shagunsodhani / papers-I-read
  A-Paper-A-Week
  ☆945Updated 11 months ago
• glouppe / phd-thesis
  Repository of my thesis "Understanding Random Forests"
  ☆525Updated 8 years ago
• szilard / benchm-ml
  A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2…
  ☆1,887Updated 2 years ago
• rasbt / deep-learning-book
  Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
  ☆2,802Updated 4 years ago
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning
  Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
  ☆777Updated 2 years ago
• hadley / stats337
  Readings in applied data science
  ☆1,617Updated 7 years ago
• DrSkippy / Data-Science-45min-Intros
  Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
  ☆1,590Updated 5 years ago
• rushter / data-science-blogs
  A curated list of data science blogs
  ☆6,355Updated last year
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,956Updated last year
• scipy-lectures / scientific-python-lectures
  Tutorial material on the scientific Python ecosystem
  ☆3,146Updated last week
• amueller / scipy_2015_sklearn_tutorial
  Scikit-Learn tutorial material for Scipy 2015
  ☆576Updated 9 years ago
• dustinvtran / ml-videos
  A collection of video resources for machine learning
  ☆1,546Updated 4 years ago
• nborwankar / LearnDataScience
  Open Content for self-directed learning in data science
  ☆2,968Updated 3 weeks ago
• Andrewnetwork / WorkshopScipy
  A workshop for scientific computing in Python. ( December 2017 )
  ☆378Updated 7 years ago
• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆904Updated 4 years ago
• ogrisel / parallel_ml_tutorial
  Tutorial on scikit-learn and IPython for parallel machine learning
  ☆1,594Updated 8 years ago
• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,838Updated last year
• IPGP / scientific_python_cheat_sheet
  simple overview of python, numpy, scipy, matplotlib functions that are useful for scientific work
  ☆586Updated 8 years ago
• rasbt / pattern_classification
  A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
  ☆4,175Updated last year
• floydhub / dl-setup
  Instructions for setting up the software on your deep learning machine
  ☆1,975Updated 6 years ago
• stan-dev / stan
  Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. …
  ☆2,666Updated last week