minireference / noBSLAnotebooksLinks
Jupyter notebooks with exercises for the No bullshit guide to linear algebra.
☆231Updated last year
Alternatives and similar repositories for noBSLAnotebooks
Users that are interested in noBSLAnotebooks are comparing it to the libraries listed below
Sorting:
- Figure notebooks for "The Data Science Design Manual" (http://www.data-manual.com/)☆61Updated 8 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆281Updated 4 years ago
- Applied Probability Theory for Everyone☆117Updated 9 months ago
- Introductory Statistical Inference☆145Updated last year
- Notebooks for the "ML from the Fundamentals" series☆63Updated 4 years ago
- Second edition of Springer Book Python for Probability, Statistics, and Machine Learning☆361Updated 3 years ago
- An introduction to data science in Python, for people with no programming experience.☆435Updated last month
- Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition☆73Updated 6 years ago
- Solutions to the exercises in Grinstead and Snell's Introduction to Probability☆88Updated 2 years ago
- Essential mathematics for applied machine learning and data science☆75Updated 3 years ago
- Mastering Machine Learning Algorithms Second Edition, published by Packt☆62Updated 4 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆354Updated 4 years ago
- Learning Data Science, a textbook.☆252Updated last week
- Inside Deep Learning: The math, the algorithms, the models☆258Updated last year
- ML algorithms in depth☆243Updated 9 months ago
- ☆133Updated last year
- Solutions and workflow for the Bayesian Statistics The Fun Way book in Python☆71Updated last year
- Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/☆53Updated 10 months ago
- Harvard CS109b Public Repository☆234Updated 4 years ago
- An introduction to Bayesian statistics using Python and (coming soon) R.☆133Updated last year
- Python and MATLAB code for linear algebra textbook.☆184Updated 9 months ago
- IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)☆559Updated last year
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆149Updated 4 years ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆181Updated 11 months ago
- All of the figures and notebooks for my deep learning book, for free!☆495Updated 2 weeks ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆275Updated 7 years ago
- Data Structures and Information Retrieval in Python☆133Updated 11 months ago
- Supplementary material for my book, Probably Overthinking It.☆154Updated 8 months ago
- Deep Learning Study Group☆321Updated 4 years ago
- Network and Graph Algorithms From Scratch☆113Updated 2 years ago