johnmyleswhite / MLNotesLinks
Very concise notes on machine learning and statistics.
☆384Updated 13 years ago
Alternatives and similar repositories for MLNotes
Users that are interested in MLNotes are comparing it to the libraries listed below
Sorting:
- Quick introduction to ggplot2 (no knowledge of R assumed)☆237Updated 7 years ago
- A compendium of the pitfalls and problems that arise when using standard statistical methods☆247Updated 11 years ago
- Notes on generalized linear models☆109Updated 7 years ago
- R package for exploratory data analysis☆120Updated 7 years ago
- Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory☆91Updated 10 years ago
- useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html☆399Updated 7 years ago
- R project in Google Summer of Code 2017☆107Updated 7 years ago
- caret models all the way down☆228Updated last week
- Simple scripts to setup a fresh data science box using an Ubuntu 12.04.* LTS 64-bit server running on an EC2☆163Updated 11 years ago
- Introduction to Empirical Bayes: Examples from Baseball Statistics☆196Updated 4 years ago
- My website☆238Updated 9 months ago
- Exploratory data analysis for large datasets (10-100 million observations)☆290Updated 10 years ago
- Gradient boosted models☆147Updated last year
- Course materials for Sta 104 - Summer 2015 semester at Duke University☆22Updated 10 years ago
- R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"☆61Updated 3 years ago
- Size of datasets used for analytics based on 10 years of surveys by KDnuggets.☆16Updated 9 years ago
- Piketty in R☆217Updated 9 years ago
- Getting Started With R☆233Updated 11 years ago
- ☆301Updated 9 years ago
- A browser based R Notebook☆125Updated 12 years ago
- animated and interactive web graphics☆148Updated 6 years ago
- Exploratory and diagnostic machine learning tools for R☆73Updated 4 years ago
- Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)☆197Updated 8 years ago
- ☆123Updated 8 years ago
- Course materials for "Introduction to Data Science with R", a video course by RStudio and O'Reilly Media☆238Updated 3 years ago
- R project participation in Google Summer of Code 2015☆43Updated 10 years ago
- ☆158Updated 8 years ago
- shinystan R package and ShinyStan GUI☆199Updated last month
- Kaggle R docker image☆148Updated 5 months ago
- A companion book for the Coursera Regression Models class☆54Updated 6 years ago