juanklopper / MIT_OCW_Linear_Algebra_18_06Links
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
☆568Updated 2 years ago
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
Sorting:
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆791Updated 3 years ago
- Numpy beginner tutorial☆516Updated 6 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆377Updated 10 years ago
- Harvard CS109b Public Repository☆238Updated 5 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆280Updated 7 years ago
- Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics☆549Updated 3 years ago
- Machine learning course materials.☆577Updated 2 years ago
- A repository with IPython notebooks of algorithms implemented in Python.☆514Updated 8 years ago
- Resources for STA 633 class☆172Updated 8 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆148Updated 4 years ago
- Public Repository for cs109a, 2017 edition☆327Updated 2 years ago
- Introductory Statistical Inference☆147Updated last year
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆545Updated 6 years ago
- Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"☆883Updated 4 years ago
- Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms…☆438Updated 4 years ago
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)☆1,784Updated 5 years ago
- A Course in Machine Learning☆908Updated 2 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆331Updated 2 years ago
- Stanford Machine Learning course exercises implemented with scikit-learn☆350Updated 5 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆499Updated 7 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆287Updated 8 years ago
- Code material for a data science tutorial☆197Updated 8 years ago
- Jupyter Notebooks derived from Allen Downey's book Think Bayes.☆397Updated 9 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆312Updated 4 years ago
- Scipy Cookbook☆474Updated 4 months ago
- Python coded examples and documentation of machine learning algorithms.☆610Updated 5 years ago
- Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]☆740Updated 3 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆293Updated 7 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆357Updated 5 years ago
- This is the companion curriculum to my guide to becoming a data scientist.☆403Updated last year