jilmun / ISLR
Student Solutions to An Introduction to Statistical Learning with Applications in R
☆206Updated 4 years ago
Alternatives and similar repositories for ISLR:
Users that are interested in ISLR are comparing it to the libraries listed below
- ☆107Updated 3 years ago
- Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course☆257Updated 7 years ago
- Notes and exercise attempts for "An Introduction to Statistical Learning"☆2,143Updated 2 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆325Updated 8 months ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆287Updated 6 years ago
- An Introduction to Statistical Learning with Applications in R☆59Updated 10 years ago
- Porting the R code in ISL to python. Labs and exercises☆196Updated 2 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆274Updated 8 years ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆105Updated 7 years ago
- Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)☆196Updated 8 years ago
- Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)☆177Updated 2 years ago
- Public Repository for cs109a, 2017 edition☆326Updated last year
- Notes from Introduction to Statistical Learning☆115Updated 7 years ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆175Updated 8 months ago
- ☆213Updated 3 years ago
- Solutions to Wasserman's 'All of Statistics'.☆104Updated 5 years ago
- A central repository of Business Science presentations☆167Updated 5 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆238Updated 9 months ago
- Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language☆174Updated 10 months ago
- Code and examples from Business Data Science☆164Updated 4 years ago
- My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.☆90Updated 6 years ago
- ☆40Updated 7 years ago
- The MOOCs I learnt myself. The repo is kept as a record for myself.☆8Updated 2 years ago
- Machine Learning with R☆234Updated last year
- Exercise solutions to "R for Data Science"☆325Updated last year
- Repository for CS109A Fall 2018☆147Updated 4 years ago
- Advanced Statistics, R code☆8Updated 9 years ago
- ☆27Updated last year
- The course work for the applied machine learning course I am teaching at BYU☆136Updated 4 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆409Updated 3 years ago