Alternatives and similar repositories for MIT_OCW_Linear_Algebra_18_06:

Users that are interested in MIT_OCW_Linear_Algebra_18_06 are comparing it to the libraries listed below

• fastai / numerical-linear-algebra-v2
  Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
  ☆273Updated 6 years ago
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning
  Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
  ☆771Updated 2 years ago
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆379Updated 9 years ago
• AllenDowney / BayesMadeSimple
  Code for a tutorial on Bayesian Statistics by Allen Downey.
  ☆351Updated 4 years ago
• cliburn / Computational-statistics-with-Python
  Resources for STA 633 class
  ☆167Updated 7 years ago
• Dpananos / GetCards
  Notebook to download machine learning flashcards
  ☆456Updated 4 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆323Updated last year
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆612Updated 4 years ago
• fonnesbeck / Bios8366
  Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics
  ☆541Updated 2 years ago
• drvinceknight / Python-Mathematics-Handbook
  A set of notebooks for an introduction to Python for Mathematicians.
  ☆171Updated 3 years ago
• rlabbe / ThinkBayes
  Jupyter Notebooks derived from Allen Downey's book Think Bayes.
  ☆395Updated 9 years ago
• patrickwalls / mathematicalpython
  Introduction to Mathematical Computing with Python and Jupyter
  ☆537Updated 2 years ago
• airalcorn2 / Michael-s-Data-Science-Curriculum
  This is the companion curriculum to my guide to becoming a data scientist.
  ☆400Updated 10 months ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆326Updated last year
• rasbt / algorithms_in_ipython_notebooks
  A repository with IPython notebooks of algorithms implemented in Python.
  ☆510Updated 7 years ago
• JWarmenhoven / Coursera-Machine-Learning
  Coursera Machine Learning - Python code
  ☆865Updated 4 years ago
• Foundations-of-Applied-Mathematics / Labs
  Labs for the Foundations of Applied Mathematics curriculum.
  ☆218Updated 4 months ago
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning-2E
  Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
  ☆359Updated 3 years ago
• JWarmenhoven / DBDA-python
  Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
  ☆679Updated 3 years ago
• AllenDowney / ThinkBayes2
  Text and code for the second edition of Think Bayes, by Allen Downey.
  ☆1,897Updated 3 months ago
• alexsosn / MarslandMLAlgo
  Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
  ☆150Updated 4 years ago
• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆906Updated 4 years ago
• dmitriydligach / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆311Updated 3 years ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆572Updated last year
• the-deep-learners / study-group
  Deep Learning Study Group
  ☆321Updated 4 years ago
• hammadshaikhha / Data-Science-and-Machine-Learning-from-Scratch
  Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms…
  ☆432Updated 3 years ago
• llSourcell / The_Math_of_Intelligence
  This is the Syllabus for Siraj Raval's new course "The Math of Intelligence"
  ☆395Updated 7 years ago
• amueller / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆516Updated 6 years ago
• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆234Updated 4 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆134Updated 4 years ago