khanhnamle1994 / statistical-learningLinks
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
☆261Updated 7 years ago
Alternatives and similar repositories for statistical-learning
Users that are interested in statistical-learning are comparing it to the libraries listed below
Sorting:
- Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)☆196Updated 8 years ago
- Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language☆174Updated last month
- Simply Statistics☆212Updated 3 years ago
- Tutorials for the dplyr package in R☆163Updated 7 years ago
- Machine Learning with R☆238Updated 2 years ago
- useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html☆399Updated 7 years ago
- A central repository of Business Science presentations☆169Updated 5 years ago
- Example R scripts and data for "Practical Data Science with R" 1st edition by Nina Zumel and John Mount (Manning Publications)☆477Updated 5 years ago
- A repository of my Coursera latex code and notes☆361Updated 10 years ago
- Course materials for "Introduction to Data Science with R", a video course by RStudio and O'Reilly Media☆240Updated 3 years ago
- Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA☆137Updated 8 years ago
- An Introduction to Statistical Learning with Applications in R☆60Updated 10 years ago
- Public repo for the Data Science Dojo YouTube tutorial series "Introduction to Text Analytics with R".☆158Updated 5 years ago
- Introduction to R by Jonathan Cornelissen☆138Updated 2 months ago
- ☆81Updated 8 years ago
- My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill☆81Updated 5 years ago
- An open source book to learn data science, data analysis and machine learning, suitable for all ages!☆225Updated last year
- GitHub Repository to accompany my YouTube series of videos on Introductory Data Science using R.☆347Updated 7 years ago
- ☆47Updated 8 years ago
- Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson☆738Updated last year
- Methods of Applied Statistics Course Textbook Repository☆165Updated 9 months ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆105Updated 7 years ago
- This is a read-only mirror of the CRAN R package repository. AppliedPredictiveModeling — Functions and Data Sets for 'Applied Predictiv…☆62Updated 2 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆239Updated 3 months ago
- Companion package for the Coursera Statistics with R specialization☆73Updated 4 years ago
- R Code to accompany the book Introduction to Data Mining by Tan, Steinbach and Kumar (Code by Michael Hahsler)☆111Updated this week
- Modeling Techniques in Predictive Analytics with Python and R☆68Updated 10 years ago
- An interactive online reading of McElreath's Statistical Rethinking☆125Updated 7 years ago
- Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more☆403Updated 6 years ago
- Developing Data Products Course from the Johns Hopkins Data Science Lab☆234Updated 4 years ago