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statistical-learning
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119 search results found
Awesome Artificial Intelligence
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8,777
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Islr Python
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3,742
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
M2cgen
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2,411
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
Esl Cn
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2,283
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
Awesome Decision Tree Papers
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2,266
A collection of research papers on decision, classification and regression trees with implementations.
Papers Literature Ml Dl Rl Ai
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1,798
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
An Introduction To Statistical Learning
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1,481
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
Statistical Learning Method
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1,259
《统计学习方法》笔记-基于Python算法实现
Teaching
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802
Teaching Materials for Dr. Waleed A. Yousef
Smartcore
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600
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.
Machinelearnjs
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532
Machine Learning library for the web and Node.
Geostats.jl
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472
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
Tick
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453
Module for statistical learning, with a particular emphasis on time-dependent modelling
The Elements Of Statistical Learning Python Notebooks
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441
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
The Elements Of Statistical Learning
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317
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
Elr
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245
Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels
Nonconformist
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218
Python implementation of the conformal prediction framework.
Statistical Learning
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206
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
The Elements Of Statistical Learning Notebooks
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197
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
Tapas
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194
TAPAS - Translational Algorithms for Psychiatry-Advancing Science
Statistical Learning Method Camp
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189
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.gith
Sharing_isl_python
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188
An Introduction to Statistical Learning with Applications in PYTHON
The Books Making You Better
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169
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.
Isl Python
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139
Porting the R code in ISL to python. Labs and exercises
Antsr
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120
Advanced Normalization Tools in R
Introduction_to_statistical_learning_summary_python
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109
Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.
Statistical Learning
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103
✒统计学习方法第二版(李航) 学习笔记、代码实现、课后习题
Paletter
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101
build your palette from a picture √
Drop
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100
Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
Adaboost Implementation
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87
Implementation of AdaBoost algorithm in Python
Py Glm
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86
Generalized Linear Models in Sklearn Style
Awesome Machine Learning
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84
📖 List of some awesome university courses for Machine Learning! Feel free to contribute!
Islr Answers
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71
Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)
R4sl
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70
📈 Machine Learning from the perspective of a Statistician using R
Islr With Python
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68
Introduction to Statistical Learning with R을 Python으로
Islr.jl
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62
JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
Dplearn
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62
Learn Deep Learning The Hard Way
Introstatlearn
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58
Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
Statistical Learning Methods Note
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55
李航《统计学习方法》笔记和 Python 实现(不基于任何代数运算库)。
Machinelearningwg
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54
D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python
Website
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53
Website sources for Applied Machine Learning for Tabular Data
Isl Python
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50
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Livro_aer
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47
Este livro oferece uma introdução compreensiva aos métodos estatísticos mais utilizados em Ecologia.
A _guide_ To_data_sciecne_from_mathematics
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47
It is a blueprint to data science from the mathematics to algorithms. It is not completed.
The Elements Of Statistical Learning
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46
This repository contains R code for exercices and plots in the famous book.
Eco395m
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41
ECO 395M: Data Mining and Statistical Learning
Superlearner Guide
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35
SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.
Sparseregression.jl
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34
Statistical Models with Regularization in Pure Julia
My Solutions The Elements Of Statistical Learning
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34
My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.
Boostsrl
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31
BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.
Broomstick
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29
🌲 broom helpers for decision tree methods (rpart, randomForest, and more!) 🌲
Sepia
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28
Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.
Sldm4 H2o
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27
Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
Gdlibrary
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27
Matlab library for gradient descent algorithms: Version 1.0.1
Stat406
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27
STAT406 @ UBC - "Elements of Statistical Learning"
Bayeshmm
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26
Full Bayesian Inference for Hidden Markov Models
Calm
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24
Conditional Associative Logic Memory
Review
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23
🌎 Review materials for bioinformatics, computational biology, and science in general
Ml Knowledge Graph
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23
Organizing concepts related to machine learning and artificial intelligence
Ziad
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22
Part of speech tagger/grammer checker written in clojure
Data Science
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22
Lecture Slides for Introduction to Data Science
Jclal
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21
JCLAL is a general purpose framework developed in Java for Active Learning.
Statistical_learning_method_by Dr. Li Hang
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20
基于Julia 1.0写李航博士《统计学习方法》
Islrv2 Solutions
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20
Solutions to Introduction to Statistical Learning second edition in bookdown
Tidy Islr
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19
Tensap
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17
Tensor Approximation Package: a Python package for the approximation of functions and tensors.
Agrum
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17
This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).
Sperrorest
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17
Spatial error estimation and variable importance
Datascience
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17
My data science projects, in Python and R, about statistical learning and Bayesian inference.
Ahead
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17
Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)
Multivariate Statistics Self Learning
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16
应用多元统计分析(高慧璇版)自学材料
Statistical Learning Using R
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16
This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
Ml_medbioinfo
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15
Machine Learning in Medical Bioinformatics
Good Da In Kd
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14
[NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective
Ida
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14
A partial solution manual for: The Elements of Statistical Learning by Jerome Friedman, Trevor Hastie, and Robert Tibshirani
Natural Language Processing
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14
This repo contains my natural language processing projects including the use of neural language models for text generation based on Spinoza's works and a sentiment analysis "in reverse" applied to movie reviews.
Fenbux
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14
A Simple Statistical Distribution Library in JAX
Keystroke Authentication
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13
Records the keystroke timing data and creates a model. Applies learning algorithms and statistical models to differentiate between a valid user and an intruder
Jstacs
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12
Statistical_learning_with_python
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11
Introduction to Statistical Learning with Python -- a workshop I gave at the Computation Institute (U of Chicago) on 2015-01-21
Nnetsauce
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10
Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)
Approximationtoolbox
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10
An object-oriented MATLAB toolbox for the approximation of functions and tensors
Womens Data Science Study Group Calgary
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10
Snpnet
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9
snpnet - Efficient Lasso Solver for Large-scale genetic variant data
Fot
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9
Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data
Infotopo
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9
Programs for Information Topology Data Analysis
Stats Mosaic
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8
Statistical-Minds is a comprehensive GitHub repository that aims to provide a growing collection of curated content and projects centered around statistics and its intersection with data science, machine learning, and artificial intelligence.
Moma
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8
MoMA: Modern Multivariate Analysis in R
Statistical Learning Method By Hang Li
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8
《统计学习方法》李航
Esl
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8
Algorithms from the book "Elements of Statistical Learning", implemented in Python
20qs
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8
Solving 20Questions with Machine Learning
R And Machine Learning
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7
several R scripts about Machine Learning that I code
The Gap Statistic
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7
An implementation of the gap statistic, a method for estimating the number of clusters in a set of data.
Pyml
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7
Machine Learning with Python
Machine_learning_study_notes
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7
Studying notes of ISLR, ESL, and other Machine Learning books. Check a more user friendly version on my personal website https://nancyyanyu.github.io/.
Statslearningnotes
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6
A assorted collection of free and open notes, courses and books in Statistical learning
Islp
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6
Python codes for the book, An Introduction to Statistical Learning with Applications in R (ISLR)
Gemident
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6
An image segmentation platform using Statistical Learning developed by Professor Susan Holmes and Adam Kapelner, under GPL2.
Reference_material
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6
This repo contains guides and other reference material that may be useful when learning how to use a particular tool or programming language
Fips
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6
A Framework for Indoor Positioning on Mobile Devices
1-100 of 119 search results
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