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

• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆378Updated 9 years ago
• cliburn / Computational-statistics-with-Python
  Resources for STA 633 class
  ☆169Updated 8 years ago
• rougier / numpy-tutorial
  Numpy beginner tutorial
  ☆498Updated 5 years ago
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning
  Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
  ☆780Updated 2 years ago
• AllenDowney / BayesMadeSimple
  Code for a tutorial on Bayesian Statistics by Allen Downey.
  ☆353Updated 4 years ago
• fastai / numerical-linear-algebra-v2
  Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
  ☆275Updated 7 years ago
• rasbt / algorithms_in_ipython_notebooks
  A repository with IPython notebooks of algorithms implemented in Python.
  ☆513Updated 7 years ago
• hal3 / ciml
  A Course in Machine Learning
  ☆901Updated 2 years ago
• JWarmenhoven / DBDA-python
  Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
  ☆683Updated 3 years ago
• scipy / scipy-cookbook
  Scipy Cookbook
  ☆473Updated last year
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆225Updated 4 years ago
• dgkim5360 / the-elements-of-statistical-learning-notebooks
  Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…
  ☆288Updated 7 years ago
• dmitriydligach / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆311Updated 3 years ago
• jrjohansson / numerical-python-book-code
  ☆170Updated 8 months ago
• thomas-haslwanter / statsintro_python
  Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"
  ☆873Updated 3 years ago
• vbartle / VMLS-Companions
  These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
  ☆337Updated 4 years ago
• rasbt / stat479-machine-learning-fs18
  Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
  ☆493Updated 6 years ago
• PacktPublishing / Bayesian-Analysis-with-Python
  Bayesian Analysis with Python by Packt
  ☆217Updated 2 years ago
• hadrienj / deepLearningBook-Notes
  Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
  ☆1,784Updated 5 years ago
• krishnakumarsekar / awesome-machine-learning-deep-learning-mathematics
  A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learn…
  ☆215Updated 7 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆135Updated 4 years ago
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆279Updated 4 years ago
• 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
• 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
  ☆858Updated 5 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆198Updated 8 years ago
• bjpcjp / scikit-and-tensorflow-workbooks
  based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)
  ☆317Updated 8 years ago
• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆233Updated 4 years ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆573Updated last year
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆611Updated 4 years ago
• aloctavodia / BAP
  Bayesian Analysis with Python (Second Edition)
  ☆666Updated last year