juanklopper / MIT_OCW_Linear_Algebra_18_06
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
☆553Updated last year
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
- Harvard CS109b Public Repository☆234Updated 4 years ago
- Numpy beginner tutorial☆492Updated 5 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆273Updated 6 years ago
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆762Updated 2 years ago
- Public Repository for cs109a, 2017 edition☆325Updated last year
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆378Updated 9 years ago
- Coursera Machine Learning - Python code☆865Updated 4 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆285Updated 7 years ago
- Code material for a data science tutorial☆197Updated 7 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆150Updated 3 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆322Updated last year
- A repository with IPython notebooks of algorithms implemented in Python.☆509Updated 7 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆158Updated 5 years ago
- Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison☆732Updated 4 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆493Updated 6 years ago
- Resources for STA 633 class☆167Updated 7 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆309Updated 3 years ago
- A set of notebooks for an introduction to Python for Mathematicians.☆171Updated 3 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆286Updated 6 years ago
- ☆342Updated 4 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- Deep Learning Study Group☆316Updated 4 years ago
- Notebook to download machine learning flashcards☆455Updated 4 years ago
- List of some awesome university courses for Machine Learning! Feel free to contribute!☆137Updated 4 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆350Updated 4 years ago
- This is the companion curriculum to my guide to becoming a data scientist.☆400Updated 9 months ago
- Introduction to Mathematical Computing with Python and Jupyter☆536Updated 2 years ago
- Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for…☆259Updated 8 years ago
- Algorithms(4th edition) by Robert Sedgewick and Kevin Wayne exercises in python☆277Updated 3 years ago
- A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learn…☆213Updated 7 years ago