wzchen / probability_cheatsheetLinks
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
☆3,139Updated 3 years ago
Alternatives and similar repositories for probability_cheatsheet
Users that are interested in probability_cheatsheet are comparing it to the libraries listed below
Sorting:
- ☆2,578Updated 3 years ago
- The probability and statistics cookbook☆2,295Updated 2 years ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆823Updated 5 years ago
- Notes and exercise attempts for "An Introduction to Statistical Learning"☆2,150Updated 2 years ago
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆758Updated 5 years ago
- Public material for CS109☆1,490Updated 3 years ago
- Text and code for the second edition of Think Bayes, by Allen Downey.☆2,005Updated 3 weeks ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,698Updated last year
- The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.☆2,007Updated last year
- 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…☆723Updated 3 years ago
- Official content for Harvard CS109☆1,788Updated 3 years ago
- Data Science at the Command Line☆3,933Updated last year
- A visual introduction to probability and statistics.☆2,101Updated 2 years ago
- A Course in Machine Learning☆909Updated 2 years ago
- Tutorial material on the scientific Python ecosystem☆3,192Updated last week
- Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python☆941Updated 3 years ago
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)☆1,784Updated 5 years ago
- A collection of IPython notebooks covering various topics.☆2,609Updated 5 years ago
- Readings in applied data science☆1,615Updated 7 years ago
- IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)☆568Updated 2 years ago
- A curated list of data science blogs☆6,366Updated last year
- Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019☆2,021Updated 5 years ago
- Tutorials on how to use pandas effectively to do data analysis☆1,116Updated 3 years ago
- Code repository for Think Bayes.☆1,684Updated 4 years ago
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆792Updated 3 years ago
- A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood☆1,435Updated 7 years ago
- Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratc…☆1,877Updated last month
- Source code for my collection of articles on using pandas.☆1,573Updated 3 years ago
- Classical equations and diagrams in machine learning☆8,005Updated last year
- Text and supporting code for Think Stats, 2nd Edition☆4,189Updated last year