wzchen / probability_cheatsheet
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
☆3,054Updated 2 years ago
Alternatives and similar repositories for probability_cheatsheet:
Users that are interested in probability_cheatsheet are comparing it to the libraries listed below
- ☆2,548Updated 2 years ago
- The probability and statistics cookbook☆2,255Updated last year
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆4,276Updated 2 years ago
- A curated list of data science blogs☆6,336Updated 7 months ago
- Official content for Harvard CS109☆1,767Updated 2 years ago
- Public material for CS109☆1,477Updated 2 years ago
- Text and code for the second edition of Think Bayes, by Allen Downey.☆1,854Updated last week
- Data Science at the Command Line☆3,822Updated 8 months ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,328Updated 9 months ago
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,144Updated 4 years ago
- A collection of IPython notebooks covering various topics.☆2,615Updated 4 years ago
- Lectures on scientific computing with python, as IPython notebooks.☆3,516Updated last year
- Readings in applied data science☆1,615Updated 6 years ago
- Classical equations and diagrams in machine learning☆7,526Updated 5 months ago
- Text and supporting code for Think Stats, 2nd Edition☆4,059Updated 6 months ago
- Free resources for learning data science☆2,929Updated 7 months ago
- A collection of video resources for machine learning☆1,536Updated 3 years ago
- Code repository for Think Bayes.☆1,656Updated 3 years ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,790Updated 4 years ago
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,287Updated 3 months ago
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆27,113Updated 6 months ago
- a curated list of R tutorials for Data Science, NLP and Machine Learning☆2,024Updated last year
- Open Content for self-directed learning in data science☆2,968Updated last year
- machine learning tutorials (mainly in Python3)☆3,217Updated 2 months ago
- A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks☆4,160Updated last year
- Machine learning glossary☆3,034Updated 5 months ago
- Tutorials on how to use pandas effectively to do data analysis☆1,107Updated 2 years ago
- Open Source Data Science Resources.☆4,122Updated 10 months ago
- A Course in Machine Learning☆897Updated last year
- Notes and exercise attempts for "An Introduction to Statistical Learning"☆2,133Updated last year