statistical-learning
There are 684 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
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
tirthajyoti/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
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。
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.
benedekrozemberczki/awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
wzyonggege/statistical-learning-method
《统计学习方法》笔记-基于Python算法实现
decisionintelligence/TFB
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
DrWaleedAYousef/Teaching
Teaching Materials for Dr. Waleed A. Yousef
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
smartcorelib/smartcore
A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.
unpingco/Python-for-Probability-Statistics-and-Machine-Learning
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
JiashuWu/Books
My book list
JuliaEarth/GeoStats.jl
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
qx0731/Sharing_ISL_python
An Introduction to Statistical Learning with Applications in PYTHON
machinelearnjs/machinelearnjs
Machine Learning library for the web and Node.
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
a-martyn/ISL-python
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
shengliu66/ELR
Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels
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
khanhnamle1994/statistical-learning
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
translationalneuromodeling/tapas
TAPAS - Translational Algorithms for Psychiatry-Advancing Science
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
hao-lh/the-books-making-you-better
This repo is a curated library to help you achieve a deeper understanding of what drives success and continuous improvement. Dive in, and discover content that can expand your thinking, sharpen your expertise, and fuel you drive better, whether you’re exploring new fields, honing in-demand skills, or simply looking for fresh perspectives.
onmee/ISLR-Answers
Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)
equitable-equations/youtube
Materials to support learning with my YouTube channel, https://www.youtube.com/c/EquitableEquations.
aml4td/website
Website sources for Applied Machine Learning for Tabular Data
tndoan/ISLR.jl
JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
danhalligan/ISLRv2-solutions
Complete solutions & exercises for "An Introduction to Statistical Learning with Applications in R second edition"
RatulGhosh/awesome-machine-learning
:book: List of some awesome university courses for Machine Learning! Feel free to contribute!
lakshmiDRIP/DROP
Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
madrury/py-glm
Generalized Linear Models in Sklearn Style
hyunblee/ISLR-with-Python
Introduction to Statistical Learning with R을 Python으로
dobriban/stat-ml-edu
Resources for education in statistics and machine learning: from advanced undergraduate to research level
mikenguyen13/data_analysis
Streamline a data analysis process