jilmun / ISLRLinks
Student Solutions to An Introduction to Statistical Learning with Applications in R
☆204Updated 4 years ago
Alternatives and similar repositories for ISLR
Users that are interested in ISLR are comparing it to the libraries listed below
Sorting:
- ☆110Updated 4 years ago
- Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course☆268Updated 8 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆294Updated 7 years ago
- An Introduction to Statistical Learning with Applications in R☆60Updated 11 years ago
- Porting the R code in ISL to python. Labs and exercises☆203Updated 3 years ago
- Teaching repo for Applied Data Science @ Columbia, a project-based course for data science skills (statistical thinking, machine learning…☆188Updated last year
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆107Updated 8 years ago
- Notes from Introduction to Statistical Learning☆120Updated 7 years ago
- Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)☆176Updated 3 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆345Updated last year
- Notes and exercise attempts for "An Introduction to Statistical Learning"☆2,149Updated 2 years ago
- An Introduction to Statistical Learning with Applications in PYTHON☆555Updated 4 years ago
- Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language☆174Updated 6 months ago
- Machine Learning with R☆237Updated 2 years ago
- The course work for the applied machine learning course I am teaching at BYU☆137Updated 5 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆284Updated 9 years ago
- Solutions to Wasserman's 'All of Statistics'.☆104Updated 6 years ago
- Machine learning course materials.☆578Updated 2 years ago
- Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more☆412Updated 7 years ago
- ☆29Updated 2 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆422Updated 4 months ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆188Updated last year
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆757Updated 5 years ago
- Repository for CS109A Fall 2018☆150Updated 5 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 3 years ago
- Uber provided Data Science take home☆92Updated 9 years ago
- Code and examples from Business Data Science☆171Updated 4 years ago
- ☆120Updated 3 years ago
- A central repository of Business Science presentations☆169Updated 5 years ago
- Public Repository for cs109a, 2017 edition☆328Updated 2 years ago