Projects in Awesome Lists tagged with statistical-learning
A curated list of 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: 12 Apr 2025
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: 14 Mar 2025
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: 14 Mar 2025
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: 14 May 2025
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: 24 Oct 2025
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: 14 May 2025
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: 25 Mar 2025
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: 27 Mar 2025
https://github.com/wzyonggege/statistical-learning-method
《统计学习方法》笔记-基于Python算法实现
Last synced: 08 Apr 2025
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: 13 Apr 2025
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: 01 May 2025
https://github.com/smartcorelib/smartcore
A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.
classification clustering machine-learning machine-learning-algorithms model-selection regression rust rust-lang scientific-computing statistical-learning statistical-models
Last synced: 14 May 2025
https://github.com/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
Last synced: 12 Apr 2025
https://github.com/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
Last synced: 10 Apr 2025
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: 31 Jan 2026
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: 24 Dec 2025
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: 14 Mar 2025
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: 08 May 2025
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: 09 Apr 2025
https://github.com/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
Last synced: 10 Apr 2025
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: 01 May 2025
https://github.com/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
Last synced: 03 Apr 2025
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: 15 Apr 2025
https://github.com/tndoan/islr.jl
JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
julia julialang statistical-learning
Last synced: 10 Apr 2025
https://github.com/madrury/py-glm
Generalized Linear Models in Sklearn Style
machine-learning parametric python regression regularization statistical-learning
Last synced: 24 Apr 2025
https://github.com/danhalligan/islrv2-solutions
Solutions to "An Introduction to Statistical Learning with Applications in R second edition"
bookdown intro-to-statistical-learning introduction-to-statistical-learning islr islr-applied-exercises islr-book r statistical-leaning statistical-learning
Last synced: 05 Apr 2025
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: 26 Apr 2025
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: 26 Apr 2025
https://github.com/gyuho/dplearn
Learn Deep Learning The Hard Way
deep-learning statistical-learning
Last synced: 25 Aug 2025
https://github.com/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
Last synced: 15 Jul 2025
https://github.com/alessandrocorradini/stanford-university-statistical-learning
Repo for Statistical Learning course offered by Stanford University
machine-learning mooc moocs r stanford stanford-online stanford-university statistical-learning
Last synced: 15 Oct 2025
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: 14 Mar 2025
https://github.com/joshday/sparseregression.jl
Statistical Models with Regularization in Pure Julia
julia linear-models regularization sparse-regression statistical-learning statistical-models
Last synced: 21 Mar 2025
https://github.com/leandromineti/ml-knowledge-graph
Organizing concepts related to machine learning and artificial intelligence
artificial-intelligence calculus data-science deep-learning knowledge-graph linear-algebra machine-learning statistical-learning
Last synced: 23 Feb 2026
https://github.com/starling-lab/boostsrl
BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.
artificial-intelligence machine-learning machine-learning-algorithms pattern-classification statistical-learning
Last synced: 08 Apr 2025
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: 07 Oct 2025
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: 10 Apr 2025
https://github.com/erictleung/data-science-resources
:earth_americas: Readings and resource materials for data science
bioinformatics computational-biology linear-algebra machine-learning network-science statistical-learning statistical-methods statistics
Last synced: 27 Feb 2026
https://github.com/simon-hirsch/ondil
A package for online distributional learning.
distributional-forecasting distributional-regression gam gamlss location-scale-and-shape machine-learning online-learning probabilistic-forecasting python statistical-learning volatility-modeling
Last synced: 16 Jan 2026
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: 21 Mar 2025
https://github.com/ledell/sldm4-h2o
Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
autoencoder deep-learning h2o machine-learning r statistical-learning tutorial
Last synced: 29 Oct 2025
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: 21 Sep 2025
https://github.com/soodoku/data-science
Lecture Slides for Introduction to Data Science
data-science statistical-learning
Last synced: 11 Jan 2026
https://github.com/karimabousselham/islp-applied-solutions
Solutions of applied exercises contained in "An Introduction to Statistical Learning with Applications in Python", by Tibshirani et al, edition 2023
applied-exercises classification clustering deep-learning exercise islp machine-learning multiple-testing python python-codes regression resampling-methods self-learning shrinkage-approaches statistical-learning support-vector-machines survival-analysis tree-based-methods
Last synced: 11 Apr 2025
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: 22 Oct 2025
https://github.com/techtonique/nnetsauce
Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)
deep-learning machine-learning neural-networks quasi-randomized statistical-learning
Last synced: 21 Oct 2025
https://github.com/JiaYaobo/fenbux
A Simple Statistical Distribution Library in JAX
jax probabilistic-programming statistical-learning
Last synced: 01 May 2025
https://github.com/cran-task-views/machinelearning
CRAN Task View: Machine Learning & Statistical Learning
cran machine-learning r rstats statistical-learning task-views
Last synced: 19 Sep 2025
https://github.com/eurus-holmes/statistics-base
Code for the book: "Statistical Learning Methods, by Hang Li".
statistical-learning statistical-methods statistical-models
Last synced: 06 Sep 2025
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
Last synced: 29 Jul 2025
https://github.com/yixuan/temperflow
Efficient Multimodal Sampling via Tempered Distribution Flow
deep-learning machine-learning neural-networks statistical-learning statistical-sampling
Last synced: 09 Apr 2025
https://github.com/winkjs/wink-composer
Composable Streaming Intelligence
anomaly-detection composable edge-ai edge-computing event-driven industrial-iot iot javascript nodejs real-time-analytics statistical-analysis statistical-learning stream-processing streaming-analytics wink-composer
Last synced: 04 Oct 2025
https://github.com/fchamroukhi/samurais
StAtistical Models for the UnsupeRvised segmentAion of tIme-Series
artificial-intelligence change-point-detection data-science dynamic-programming em-algorithm hidden-markov-models hidden-process-regression human-activity-recognition latent-variable-models model-selection multivariate-timeseries newton-raphson piecewise-regression statistical-inference statistical-learning time-series-analysis time-series-clustering
Last synced: 22 Oct 2025
https://github.com/neurodata/value-of-ood-data
The value of out-of-distribution data (ICML 2023)
computer-vision machine-learning ood-generalization statistical-learning
Last synced: 25 Apr 2025
https://github.com/ronlee12355/r-and-machine-learning
several R scripts about Machine Learning that I code
machine-learning r statistical-learning
Last synced: 25 Jun 2025
https://github.com/mnicnc404/the-gap-statistic
An implementation of the gap statistic, a method for estimating the number of clusters in a set of data.
clustering gap-statistic machine-learning r statistical-learning
Last synced: 04 Oct 2025
https://github.com/tushar2704/stats-mosaic
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.
aritificial-intelligence data-analytics data-science machine-learning statistical-learning statistical-methods statistics streamlit
Last synced: 07 Aug 2025
https://github.com/itsrainingdata/ccdralgorithm
Structure learning for Bayesian networks using the CCDr algorithm.
bayesian-networks experimental-data graphical-models machine-learning-algorithms r regularization statistical-learning
Last synced: 13 Apr 2025
https://github.com/mathworks-teaching-resources/descriptive-stats-and-probability
Interactive courseware module that addresses common foundational-level concepts taught in statistics courses.
courseware cwm matlab matlab-live-script probability probability-statistics statistical-learning statistics
Last synced: 15 Jul 2025
https://github.com/danhalligan/islrv2-solutions-template
A bookdown template for solutions to Introduction to Statistical Learning second edition
bookdown islr statistical-learning template
Last synced: 07 May 2025
https://github.com/justinmshea/statisticallearning
Course offered online through Stanford closely following the text "An Introduction to Statistical Learning, with Applications in R" (James, Witten, Hastie, Tibshirani - Springer 2013).
Last synced: 19 Sep 2025
https://github.com/jolars/sgdnet
Fast Sparse Linear Models for Big Data with SAGA
elastic-net generalized-linear-models gsoc-2018 lasso-regression machine-learning r ridge-regression statistical-learning
Last synced: 22 Apr 2025
https://github.com/ndleah/stat-learning
📚 Notes for ITSL
data-science machine-learning r regression-analysis statistical-analysis statistical-learning
Last synced: 05 May 2025
https://github.com/hyiltiz/info
Correctly computed entropy, mutual information, surprisal, KL divergence, all-in-one module.
approximation entropy information-theory logical-fallacies model-selection probabilistic-models python3 statistical-learning toolbox
Last synced: 04 Apr 2025
https://github.com/fabian-sp/snspp
Stochastic Proximal Point algorithm for regularized statistical learning
optimization statistical-learning
Last synced: 05 Apr 2025
https://github.com/max-alletsee/islr-anki
An Anki Deck for "An Introduction to Statistical Learning with Applications in R"
anki-deck anki-flashcards islr statistical-learning
Last synced: 18 Feb 2026
https://github.com/bmoretz/statistical-computing
Work related to statistical learning, computational statistics and applications to finance.
data-science finance julia machine-learning operations-research r statistical-learning statistics
Last synced: 25 Oct 2025
https://github.com/nnamanx/estat
The comprehensive statistical tool, tailored for diverse student levels including university, middle, and high school, redefines data understanding. From informative visualizations to interactive tools, it offers a dynamic learning experience, enabling students to unravel the complexities of statistics with confidence and precision.
animation bootstrap css html javascript statistical-learning statistics
Last synced: 12 Apr 2025
https://github.com/gastonstat/stat154
STAT 154: Modern Statistical Prediction and Machine Learning
classification-model clustering data-science machine-learning multivariate-analysis predictive-modeling principal-component-analysis statistical-learning statistics syllabus
Last synced: 23 Feb 2026
https://bradleyboehmke.github.io/learningAnalytics/
An R package that provides a structured learning environment to deliver tutorials covering various statistical learning techniques
data-science education r statistical-learning teaching
Last synced: 10 May 2025
https://github.com/kbruegge/machine-learning-lecture
Collection of Jupyter Notebooks I created for a lecture on Machine Learning
lecture machine-learning notebook statistical-learning
Last synced: 18 Jan 2026
https://github.com/bradleyboehmke/learninganalytics
An R package that provides a structured learning environment to deliver tutorials covering various statistical learning techniques
data-science education r statistical-learning teaching
Last synced: 19 Oct 2025
https://github.com/amirhosseinhonardoust/teaching-neural-networks-to-imagine-tables
A comprehensive deep dive into how Variational Autoencoders (VAEs) learn to generate realistic synthetic tabular data. This project explores latent space learning, probabilistic modeling, and neural creativity, combining data privacy, interpretability, and generative AI techniques in a structured format.
autoencoder data-augmentation data-privacy data-science deep-learning explainable-ai feature-learning generative-model latent-space machine-learning neural-networks python pytorch representation-learning research simulation statistical-learning synthetic-data tabular-data vae
Last synced: 17 Nov 2025
https://github.com/neelsoumya/butterfly_detector
Basic tutorials and code for teaching deep learning and machine learning
data-science deep deep-learning deep-learning-tutorial deep-neural-networks ethical-artificial-intelligence learning machine-learning neural-networks open open-data-science outreach outreach-activities public-outreach statistical-learning teaching teaching-materials teaching-resources tutorial tutorials
Last synced: 25 Feb 2025
https://github.com/tushar2704/stats-mosaic-streamlit
Stats-Mosaic-Streamlit 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.
artificial-intelligence bivariate-analysis data-analysis data-science hypothesis-testing machine-learning statistical-learning statistics streamlit streamlit-tushar2704 univariate-analysis
Last synced: 04 Nov 2025
https://github.com/ekosaputro09/Data-Science-References
Some useful resources to learn about Data Science
cheatsheet data-analysis data-science data-visualization machine-learning statistical-learning
Last synced: 22 Nov 2025
https://github.com/scifer99/building-machine-learning-models-with-python
Build Linear Regression and Mean Absolute Error Models with Python for Machine Learning
ai linear-regression machine-learning mean-absolute-error statistical-analysis statistical-learning
Last synced: 21 Aug 2025
https://github.com/scifer99/maximum-minimum-z-score-normalization-in-python-for-machine-learning
This script demonstrates the Maximum, Minimum and Z-Score Normalization for Machine Learning purposes.
ai machine-learning normal-distribution normalization software-engineering statistical-learning
Last synced: 25 Feb 2025
https://github.com/JennyLeeStat/CASwR
Computational Actuarial Science with R
computational-actuarial-science machine-learning-algorithms statistical-learning
Last synced: 06 May 2025
https://github.com/connor-mccarthy/nlp-visualization-of-statistical-learning-book
📙 End-to-end NLP and data visualization pipeline of the text from a machine learning textbook.
clustering glove glove-embeddings hdbscan linear-algebra nlp pca principal-component-analysis statistical-learning statistics word-vectors
Last synced: 23 Feb 2026
https://github.com/marcozanotti/statlearning-course
Statistical Learning Course
artificial-intelligence data-science deep-learning machine-learning statistical-learning statistics
Last synced: 25 Feb 2026
https://github.com/leonard-seydoux/earth-data-science-public
Lecture notes and notebooks for statistical data analysis and machine learning in Earth science
deep-learning earth-sciences geophysics geosciences jupyter lecture machine-learning notebook statistical-learning
Last synced: 08 Sep 2025
https://github.com/jeonghunyoon/bayesian-inference
The implementations of "Probabilistic Programming and Bayesian Methods for Hackers"
bayesian-inference bayesian-statistics pymc3 python statistical-learning statistics
Last synced: 09 Aug 2025
https://github.com/oyebamiji-micheal/introduction-to-statistical-learning-with-python
Python implemented solution to exercises in the 'introduction to statistical learning with R' textbook
machine-learning python statistical-learning
Last synced: 29 Jul 2025
https://github.com/pharo-ai/gaussian-mixture-model
Gaussian Mixture Model (GMM) is an iterative algorithm for fitting the data with multiple normal distributions (gaussians). Can be used for classification
classification gaussian-mixture-models machine-learning maximum-likelihood pharo statistical-learning statistics
Last synced: 03 Jul 2025
https://github.com/mala13f/statistical-learning-in-finance
This Repository contains all the codes, papers and related data for assignments done during the course.
cuda gpu-acceleration jupyter-notebook machine-learning python statistical-learning
Last synced: 04 Sep 2025
https://github.com/jasmainak/martinos_reading_group
Reading group at the MEG lab of Martinos Center
reading-group statistical-learning tibshirani
Last synced: 14 Feb 2026
https://github.com/rwoldford/loon
A Toolkit for Interactive Statistical Data Visualization
data-visualization exploratory-data-analysis high-dimension-visualization high-dimensional-data interactive-graphics interactive-visualizations r r-package r-programming r-stats statistical-graphics statistical-learning statistics tcl-applications tcl-extension tcl-tk tcltk
Last synced: 30 Jul 2025
https://github.com/zvibaratz/ml_for_neuro
Machine Learning for Neuroscience
islr machine-learning neuroscience statistical-learning statistics
Last synced: 25 Jul 2025
https://github.com/saniyaabushakimova/a-study-of-sigmoid-based-multi-class-logistic-regression
Investigated how multi-class logistic regression would perform if the activation function was changed from softmax to sigmoid. It included mathematical analysis and empirical evaluation, such as rewriting the model from scratch. Tech: Python (scikit-learn, pandas)
aaai multiclass-logistic-regression python research statistical-learning
Last synced: 03 Dec 2025
https://github.com/tsimpdim/heart-disease
A Machine Learning approach on detecting heart disease
machine-learning machinelearning python python3 statistical-learning tensorflow tensorflow-experiments whatamidoing
Last synced: 16 Dec 2025
https://github.com/zjiayao/stat7614
Understanding Admission Results of CS Graduate Programs in U.S. Universities
data-science graduate-application statistical-learning
Last synced: 11 Apr 2025
https://github.com/jooolia/introstatlearning
Work on exercises and lab in An Introduction to Statistical Learning
islr machine-learning r statistical-learning
Last synced: 12 Aug 2025
https://github.com/madebypixel02/statistical-learning-practices-2021
[R] Repo to save the code from my statistical learning practices
data-science rlang statistical-learning uc3m
Last synced: 07 Oct 2025
https://github.com/jhrcook/an-introduction-to-statistical-learning
My notes on the book "An Introduction to Statistical Learning: with Applications in R."
notes r r-language statistical-analysis statistical-learning statistics
Last synced: 03 Mar 2025
