ajtulloch / Elements-of-Statistical-Learning
Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)
☆290Updated 11 years ago
Alternatives and similar repositories for Elements-of-Statistical-Learning:
Users that are interested in Elements-of-Statistical-Learning are comparing it to the libraries listed below
- ☆78Updated 8 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆163Updated 9 years ago
- Repository of my thesis "Understanding Random Forests"☆524Updated 8 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆378Updated 9 years ago
- Course materials for STA663☆37Updated 8 years ago
- my public kaggle code☆79Updated 11 years ago
- A collection of tutorials on neural networks, using Theano☆222Updated 2 years ago
- Work on Introduction to Statistical Learning☆121Updated 9 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆86Updated 8 years ago
- ☆82Updated 7 years ago
- Solutions to exercises from Machine Learning: A Probabilistic Perspective by Kevin P. Murphy☆47Updated 8 years ago
- Bayesian Machine Learning☆206Updated 2 years ago
- Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.☆93Updated 7 years ago
- Cleaned code of the winning submission of the Kaggle Recruiting Competition☆123Updated 5 years ago
- Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016☆114Updated 8 years ago
- 2nd Place Solution in Kaggle Airbnb New User Bookings competition☆128Updated 8 years ago
- Demonstration of the effect of synthetic features on linear models☆79Updated 11 years ago
- Edward content including papers, posters, and talks☆90Updated 4 years ago
- Student Sourced Solution Manual for "An Introduction to Statistical Learning: with Applications in R"☆24Updated 10 years ago
- Files for my scikit-learn tutorial at PyCon 2013☆170Updated 8 years ago
- My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)☆82Updated 10 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆285Updated 6 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆79Updated 7 years ago
- Courera Version of Graphical Model.. Cooperate with Jian Guo.☆122Updated 8 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 7 years ago
- Very concise notes on machine learning and statistics.☆380Updated 12 years ago
- ☆66Updated last year
- Kaggle's Allstate Purchase Prediction Challenge☆88Updated 7 years ago
- Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation☆414Updated 5 years ago
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆127Updated 8 years ago