seeingtheory / Seeing-TheoryLinks
A visual introduction to probability and statistics.
☆2,059Updated 2 years ago
Alternatives and similar repositories for Seeing-Theory
Users that are interested in Seeing-Theory are comparing it to the libraries listed below
Sorting:
- The probability and statistics cookbook☆2,290Updated 2 years ago
- The textbook Computational and Inferential Thinking: The Foundations of Data Science☆893Updated this week
- Notes and exercise attempts for "An Introduction to Statistical Learning"☆2,148Updated 2 years ago
- Data Science at the Command Line☆3,929Updated last year
- IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)☆569Updated 2 years ago
- Leading to the dataviz you need☆1,075Updated last year
- A data visualization curriculum of interactive notebooks.☆1,350Updated 8 months ago
- A Course in Machine Learning☆907Updated 2 years ago
- Machine learning course materials.☆577Updated 2 years ago
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆791Updated 3 years ago
- A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.☆3,128Updated 3 years ago
- 📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationshi…☆918Updated last month
- 📚 An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high…☆437Updated 11 months ago
- An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017☆2,112Updated 7 months ago
- Readings in applied data science☆1,620Updated 7 years ago
- Learning Data Science, a textbook.☆265Updated 5 months ago
- Anatomy of Matplotlib -- tutorial developed for the SciPy conference☆1,233Updated 4 years ago
- Materials for my scikit-learn tutorial☆1,809Updated 2 years ago
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆4,376Updated 3 years ago
- Compiled Notes for all 9 courses in the Coursera Data Science Specialization☆772Updated 3 years ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆805Updated 5 years ago
- Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"☆883Updated 4 years ago
- Open Content for self-directed learning in data science☆2,983Updated 6 months ago
- IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018☆964Updated 3 years ago
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆756Updated 4 years ago
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)☆1,784Updated 5 years ago
- Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"☆1,201Updated 3 years ago
- Tutorials on how to use pandas effectively to do data analysis☆1,111Updated 3 years ago
- A book covering the fundamentals of data visualization☆3,409Updated 3 years ago
- A list of recommended research papers and other readings on data visualization☆960Updated 5 years ago