seeingtheory / Seeing-TheoryLinks
A visual introduction to probability and statistics.
☆1,953Updated last year
Alternatives and similar repositories for Seeing-Theory
Users that are interested in Seeing-Theory are comparing it to the libraries listed below
Sorting:
- The textbook Computational and Inferential Thinking: The Foundations of Data Science☆861Updated 10 months ago
- A data visualization curriculum of interactive notebooks.☆1,330Updated 3 months ago
- The probability and statistics cookbook☆2,270Updated 2 years ago
- Text and code for the second edition of Think Bayes, by Allen Downey.☆1,929Updated 6 months ago
- Learning Data Science, a textbook.☆252Updated 8 months ago
- Code for A Programmer's Introduction to Mathematics☆3,610Updated 2 years ago
- Leading to the dataviz you need☆1,045Updated 8 months ago
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆781Updated 2 years ago
- A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.☆3,098Updated 3 years ago
- Book and code for Think Complexity, 2nd edition☆767Updated 9 months ago
- The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learni…☆690Updated 2 years ago
- A Course in Machine Learning☆902Updated 2 years ago
- Tutorials on how to use pandas effectively to do data analysis☆1,107Updated 2 years ago
- The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.☆1,955Updated last year
- IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018☆963Updated 3 years ago
- An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017☆2,088Updated 2 months ago
- Notes and exercise attempts for "An Introduction to Statistical Learning"☆2,141Updated 2 years ago
- Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"☆873Updated 3 years ago
- 📚 An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high…☆426Updated 6 months ago
- Text and supporting code for Think Stats, 2nd Edition☆4,106Updated 5 months ago
- IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)☆559Updated last year
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)☆1,785Updated 5 years ago
- Tutorial material on the scientific Python ecosystem☆3,151Updated last week
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆758Updated 4 years ago
- Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"☆1,175Updated 2 years ago
- A book covering the fundamentals of data visualization☆3,332Updated 2 years ago
- A collection of video resources for machine learning☆1,547Updated 4 years ago
- Interactive and colorful graph theory tutorials made using d3.js☆1,803Updated last year
- 📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationshi…☆900Updated 6 months ago
- Code repository for Think Bayes.☆1,672Updated 4 years ago