statistical-learning

There are 29 repositories under statistical-learning topic.

owainlewis / awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
ai artificial-intelligence deep-learning intelligent-machines intelligent-systems machine-intelligence machine-learning neural-network reinforcement-learning statistical-learning unsupervised-learning
6778
JWarmenhoven / ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
islr islr-python machine-learning predictive-modeling statistical-learning
Language:Jupyter Notebook 3566
BayesWitnesses / m2cgen
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
machine-learning scikit-learn statistical-learning xgboost lightgbm java python c javascript go csharp php r dartlang statsmodels lightning haskell ruby rust
Language:Python 2103
awesome-decision-tree-papers
benedekrozemberczki / awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
decision-tree decision-tree-classifier gradient-boosting gradient-boosting-machine regression-tree cart machine-learning machine-learning-research random-forest xgboost lightgbm catboost classification-trees decision-tree-model decision-tree-learning classification-model classifier tree-ensemble ensemble-learning statistical-learning
Language:Python 1980
szcf-weiya / ESL-CN
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
esl statistical-learning esl-cn r julia python cpp
Language:Jupyter Notebook 1979
hardikkamboj / An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
datascience machine-learning python statistical-learning
Language:Jupyter Notebook 1954
wzyonggege / statistical-learning-method
《统计学习方法》笔记-基于Python算法实现
python statistical-learning
Language:Jupyter Notebook 1716
tirthajyoti / Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
artificial-intelligence data-mining data-science deep-learning game-theory hardware learning-theory literature machine-learning machine-learning-algorithms neural-network paper pattern-recognition reinforcement-learning silicon statistical-learning statistics
1678
DrWaleedAYousef / Teaching
Teaching Materials for Dr. Waleed A. Yousef
computer-science mathematics data-science data-structures data-visualization digital-design logic-design image-processing linear-algebra optimization pattern-recognition machine-learning statistics statistical-learning statistical-models analysis-of-algorithms programming discrete-mathematics probability
Language:Mathematica 712
empathy87 / The-Elements-of-Statistical-Learning-Python-Notebooks
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
machine-learning data-science python statistical-learning tutorials sklearn tensorflow data-analysis
Language:Jupyter Notebook 586
unpingco / Python-for-Probability-Statistics-and-Machine-Learning
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
book books jupyter-notebook machine-learning probability probability-theory python statistical-analysis statistical-learning statistical-tests statistics statistics-course
Language:Jupyter Notebook 538
machinelearnjs / machinelearnjs
Machine Learning library for the web and Node.
machine-learning easy-to-use minimalistic web node statistical-learning random-forest svm feature-extraction data-preprocessing probabilistic-models structured-data
Language:TypeScript 507
maitbayev / the-elements-of-statistical-learning
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
machine-learning statistics python python3 jupyter-notebook statistical-learning textbook
Language:Jupyter Notebook 343
dgkim5360 / the-elements-of-statistical-learning-notebooks
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
python3 machine-learning textbook jupyter-notebooks statistical-learning scipy matplotlib pytorch neural-network
Language:Jupyter Notebook 258
smartcorelib / smartcore
SmartCore is a comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.
classification clustering machine-learning machine-learning-algorithms model-selection regression rust rust-lang scientific-computing statistical-learning statistical-models
Language:Rust 243
khanhnamle1994 / statistical-learning
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
data-mining data-science r regression statistical-learning
Language:R 236
Sharing_ISL_python
qx0731 / Sharing_ISL_python
An Introduction to Statistical Learning with Applications in PYTHON
machine-learning python r statistical-learning
Language:Jupyter Notebook 210
shengliu66 / ELR
Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels
deep-learning noisy-labels robust-learning statistical-learning
Language:Python 193
Relph1119 / statistical-learning-method-camp
统计学习方法训练营课程作业及答案，视频笔记在线阅读地址：https://relph1119.github.io/statistical-learning-method-camp
statistical-learning
Language:Jupyter Notebook 188
translationalneuromodeling / tapas
TAPAS - Translational Algorithms for Psychiatry-Advancing Science
computational psychiatry behavioral neuroscience psychosomatics neurology statistical-learning bayesian-inference hierarchical-models fmri eeg
Language:MATLAB 159
a-martyn / ISL-python
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
bagging boosting-algorithms bootstrap islr lda linear-regression logistic-regression machine-learning pca random-forest statistical-learning supervised-learning
Language:Jupyter Notebook 155
tndoan / ISLR.jl
JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
julia statistical-learning julialang
Language:Jupyter Notebook 132
hao-lh / books-making-you-better
A list of time-lasting classic books, which could not only help you figure out how it works, but also grasp when it works and why it works in that way.
deep-learning machine-learning statistical-learning computer-vision linear-algebra bayesian-inference probabilistic-graphical-models computer-architecture reinforcement-learning high-performance-computing
121
DefTruth / statistic-learning-R-note
📖超详细《统计学习方法：李航》笔记 200 页，包含了很多详细的公式推导和案例实践，已经整理成pdf，有详细的目录。
statistics statistical-learning statistics-learning statistics-course statistic-learning statistics-library statistics-toolbox statistic-notes statistic-analysis statistic-circles-library
119
madrury / py-glm
Generalized Linear Models in Sklearn Style
python statistical-learning machine-learning parametric regularization regression
Language:Python 119
RatulGhosh / awesome-machine-learning
:book: List of some awesome university courses for Machine Learning! Feel free to contribute!
computer-vision deep-learning machine-learning natural-language-processing statistical-learning
106
JiashuWu / Books
My book list
reading-list reading book algorithms data-structures android computer-networking computer-vision data-mining data-science database-systems sql deep-learning design-patterns discrete-mathematics corpus-linguistics machine-learning statistical-learning artificial-intelligence natural-language-processing
103
ANTsR
ANTsX / ANTsR
Advanced Normalization Tools in R
brain registration segmentation decomposition prediction statistical-learning mri r
Language:R 98
hyunblee / ISLR-with-Python
Introduction to Statistical Learning with R을 Python으로
predictive-analysis islr machine-learning statistical-learning scikit-learn
Language:Jupyter Notebook 88
DROP
lakshmiDRIP / DROP
Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
fixed-income bond asset-allocation transaction-cost-analytics counterparty-risk cva-dva-fva-kva-xva statistical-learning asset-backed portfolio-optimization market-risk credit-risk corporates loans municipals emerging-market inflation-linked interest-rates fx treasury java
Language:HTML 72
daviddalpiaz / r4sl
:chart_with_upwards_trend: Machine Learning from the perspective of a Statistician using R
machine-learning r rmarkdown statistical-learning
Language:Shell 64
dlab-berkeley / MachineLearningWG
D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python
machine-learning statistical-learning ucberkeley
Language:HTML 64
gyuho / dplearn
Learn Deep Learning The Hard Way
deep-learning statistical-learning
Language:Go 63
ysh329 / statistical-learning-methods-note
李航《统计学习方法》笔记和 Python 实现（不基于任何代数运算库）。
machine-learning notes python statistical-learning
Language:Python 57
onmee / ISLR-Answers
Solutions to exercises from Introduction to Statistical Learning (ISLR 7th Edition)
exercises islr statistical-learning
47
hiroyuki-kasai / GDLibrary
Matlab library for gradient descent algorithms: Version 1.0.1
optimization optimization-algorithms machine-learning machine-learning-algorithms big-data gradient-descent gradient logistic-regression newton linear-regression svm lasso matrix-completion rosenbrock-problem softmax-regression multinomial-regression statistical-learning classification
Language:MATLAB 44

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