Projects in Awesome Lists tagged with statistical-learning

https://github.com/jwarmenhoven/islr-python

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

islr islr-python machine-learning predictive-modeling statistical-learning

Last synced: 30 Sep 2024

https://github.com/JWarmenhoven/ISLR-python

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

islr islr-python machine-learning predictive-modeling statistical-learning

Last synced: 30 Jul 2024

https://github.com/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

c csharp dartlang go haskell java javascript lightgbm lightning machine-learning php python r ruby rust scikit-learn statistical-learning statsmodels xgboost

Last synced: 26 Sep 2024

https://github.com/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

c csharp dartlang go haskell java javascript lightgbm lightning machine-learning php python r ruby rust scikit-learn statistical-learning statsmodels xgboost

Last synced: 30 Jul 2024

https://github.com/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。

cpp esl esl-cn julia python r statistical-learning

Last synced: 30 Sep 2024

https://github.com/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。

cpp esl esl-cn julia python r statistical-learning

Last synced: 31 Jul 2024

https://github.com/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

Last synced: 31 Jul 2024

https://github.com/wzyonggege/statistical-learning-method

《统计学习方法》笔记-基于Python算法实现

python statistical-learning

Last synced: 30 Sep 2024

https://github.com/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

data-analysis data-science machine-learning python sklearn statistical-learning tensorflow tutorials

Last synced: 26 Sep 2024

https://github.com/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

data-analysis data-science machine-learning python sklearn statistical-learning tensorflow tutorials

Last synced: 02 Aug 2024

https://github.com/smartcorelib/smartcore

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

Last synced: 28 Sep 2024

https://github.com/machinelearnjs/machinelearnjs

Machine Learning library for the web and Node.

data-preprocessing easy-to-use feature-extraction machine-learning minimalistic node probabilistic-models random-forest statistical-learning structured-data svm web

Last synced: 02 Aug 2024

https://github.com/JuliaEarth/GeoStats.jl

An extensible framework for geospatial data science and geostatistical modeling fully written in Julia

datascience geo geospatial geostatistics gis spatial-statistics statistical-learning statistics

Last synced: 30 Jul 2024

https://github.com/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

jupyter-notebooks machine-learning matplotlib neural-network python3 pytorch scipy statistical-learning textbook

Last synced: 30 Sep 2024

https://github.com/shengliu66/ELR

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

deep-learning noisy-labels robust-learning statistical-learning

Last synced: 03 Aug 2024

https://github.com/translationalneuromodeling/tapas

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

bayesian-inference behavioral computational eeg fmri hierarchical-models neurology neuroscience psychiatry psychosomatics statistical-learning

Last synced: 02 Aug 2024

https://github.com/hao-lh/the-books-making-you-better

A list of time-lasting classic books, which not only help you figure out how it works, but also grasp when it works and why it works in that way.

bayesian-inference computer-architecture computer-vision deep-learning high-performance-computing linear-algebra machine-learning probabilistic-graphical-models reinforcement-learning statistical-learning

Last synced: 01 Aug 2024

https://github.com/tndoan/islr.jl

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

julia julialang statistical-learning

Last synced: 29 Sep 2024

https://github.com/daviddalpiaz/r4sl

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

machine-learning r rmarkdown statistical-learning

Last synced: 02 Aug 2024

https://github.com/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

Last synced: 02 Aug 2024

https://github.com/mmarouen/The-Elements-Of-Statistical-Learning

This repository contains R code for exercices and plots in the famous book.

classification exercice linear-models linear-regression statistical-learning

Last synced: 30 Jul 2024

https://github.com/silk-road/statistical_learning_method_by-dr.-li-hang

基于Julia 1.0写李航博士《统计学习方法》

julialang machine-learning statistical-learning

Last synced: 29 Sep 2024

https://gitlab.com/agrumery/aGrUM

aGrUM is a C++ library designed for easily building applications using graphical models such as Bayesian networks, influence diagrams, decision trees, GAI networks or Markov decision processes.

artificial-intelligence bayesian-network causal-inference causal-models causality cpp20 credal-network explainable-ai influence-diagram machine-learning-algorithms markov-network parallel-algorithm probabilistic-classifiers probabilistic-graphical-models probabilistic-models python python3 statistical-learning structural-learning

Last synced: 30 Sep 2024

https://github.com/njtierney/broomstick

:evergreen_tree: broom helpers for decision tree methods (rpart, randomForest, and more!) :evergreen_tree:

broom decision-trees gbm machine-learning randomforest rpart rstats statistical-learning

Last synced: 05 Aug 2024

https://github.com/beegass/self-taught-machine-learning

I have had trouble in the past finding a place where I could learn about statistical learning algorithms, resources as to how to learn them and the code associated with it. This is my attempt at remedying that issue.

lecture linear-regression machine-learning statistical-learning support-vector-machine

Last synced: 03 Oct 2024

https://github.com/giscience-fsu/sperrorest

Spatial error estimation and variable importance

cross-validation machine-learning r-package rstats spatial-statistics spatio-temporal-modeling statistical-learning

Last synced: 05 Aug 2024

https://github.com/JiaYaobo/fenbux

A Simple Statistical Distribution Library in JAX

jax probabilistic-programming statistical-learning

Last synced: 02 Aug 2024

https://github.com/VaibhavAbhimanyooHiwase/Risk_Calculation_using_Backward_Elimination_Algorithm_in_Life_Insurance

Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.

alpha-value backward-elimination data-mining-algorithms data-science insurance kaggle-life-insurance life-insurance multiple-linear-regression p-value random-forest risk-analysis risk-assessment risk-calculations risk-modelling risk-models statistical-analysis statistical-data statistical-learning statistical-models statistics