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.

• JWarmenhoven / ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

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

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.

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。

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.

Language:Jupyter Notebook 1954
• wzyonggege / statistical-learning-method

《统计学习方法》笔记-基于Python算法实现

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

• DrWaleedAYousef / Teaching

Teaching Materials for Dr. Waleed A. Yousef

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

Language:Jupyter Notebook 586
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

Language:Jupyter Notebook 538
• machinelearnjs / machinelearnjs

Machine Learning library for the web and Node.

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

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

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.

Language:Rust 243
• khanhnamle1994 / statistical-learning

Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

Language:R 236
• Sharing_ISL_python

qx0731 / Sharing_ISL_python

An Introduction to Statistical Learning with Applications in PYTHON

Language:Jupyter Notebook 210
• shengliu66 / ELR

Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels

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

Language:Jupyter Notebook 188
• translationalneuromodeling / tapas

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

Language:MATLAB 159
• a-martyn / ISL-python

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Language:Jupyter Notebook 155
• tndoan / ISLR.jl

JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"

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.

• 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。

Generalized Linear Models in Sklearn Style

Language:Python 119
• RatulGhosh / awesome-machine-learning

:book: List of some awesome university courses for Machine Learning! Feel free to contribute!

• ANTsR

ANTsX / ANTsR

Language:R 98
• hyunblee / ISLR-with-Python

Introduction to Statistical Learning with R을 Python으로

Language:Jupyter Notebook 88
• DROP

lakshmiDRIP / DROP

Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics

Language:HTML 72
• daviddalpiaz / r4sl

:chart_with_upwards_trend: Machine Learning from the perspective of a Statistician using R

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

Language:HTML 64
• gyuho / dplearn

Learn Deep Learning The Hard Way

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）。

Language:Python 57