the-elements-of-statistical-learning

Statistical learning textbook implementation

Notes and code implementation of statistical learning concepts from a textbook

My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

GitHub

404 stars
18 watching
83 forks
Language: Jupyter Notebook
last commit: almost 3 years ago
Linked from 1 awesome list

jupyter-notebookmachine-learningpythonpython3statistical-learningstatisticstextbook

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
rlabbe/thinkbayes An interactive adaptation of Allen Downey's book on Bayesian statistics in Jupyter Notebooks 395
mostafa-samir/how-machine-learning-works An implementation of Manning Publications' How Machine Learning Works book in Python using Jupyter Notebook 4
emptymalei/statisticalphysics An online resource for learning statistical physics through interactive notes and lectures. 44
shanky-21/machine_learning A collection of machine learning techniques taught through interactive Jupyter Notebooks 29
packtpublishing/machine-learning-for-streaming-data-with-python A comprehensive guide to building machine learning models for streaming data in Python 68
phdp/mlbop The codebase provides MATLAB implementations of machine learning concepts from S. Theodoridis' book 66
gmonce/scikit-learn-book Source code and data for a machine learning book with Python tutorials 393
jvalegre/robert Automated machine learning protocols for cheminformatics using Python 38
yhilpisch/py4at Jupyter Notebooks and code for algorithmic trading book in Python 694
locuslab/e2e-model-learning Develops an approach to learning probabilistic models in stochastic optimization problems 200
allendowney/thinkstats2 An online resource providing code and solutions to statistical exercises for Python programmers 4,033
allendowney/thinkpython Jupyter notebooks and accompanying resources for teaching computer science fundamentals 1,298
trekhleb/machine-learning-experiments An interactive platform for exploring and comparing various machine learning algorithms and techniques using visualizations and example code. 1,654
amazaspshumik/sklearn-bayes A collection of Python packages implementing Bayesian machine learning algorithms with scikit-learn API 514
tylere/ee-jupyter-examples A collection of Jupyter Notebook examples showcasing the use of the Earth Engine Python API 87