An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: statistical-learning

lakshmiDRIP/DROP

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

Language: HTML - Size: 3.44 GB - Last synced at: about 8 hours ago - Pushed at: about 9 hours ago - Stars: 124 - Forks: 46

Giovannibriglia/ContinuousBayesianNetwork

A PyTorch-based Bayesian Network framework that supports both discrete and continuous data types. Optimized for GPU acceleration and batch operations, this framework is designed for dynamic network structures and multi-agent scenarios, offering a flexible and scalable approach to learn and inference probabilities in complex domains.

Language: Python - Size: 221 KB - Last synced at: about 12 hours ago - Pushed at: about 13 hours ago - Stars: 1 - Forks: 0

Vikranth3140/CSE342-SML

Statistical Machine Learning is a 3xx-level course offered to undergrads at IIIT-Delhi.

Language: Python - Size: 23.4 MB - Last synced at: about 15 hours ago - Pushed at: about 16 hours ago - Stars: 3 - Forks: 0

Techtonique/nnetsauce_r

Randomized and quasi-randomized nnetworks for supervised learning and multivariate time series forecasting

Language: R - Size: 26.6 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 2 - Forks: 0

Techtonique/nnetsauce

Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)

Language: Jupyter Notebook - Size: 22.1 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 16 - Forks: 4

mbmahiout/ising

Ising models and kinetic Ising models applied to calcium imaging recordings from mouse area M2.

Language: Jupyter Notebook - Size: 130 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

ppmzhang2/ppmzhang2.github.io

Data Science Study Notes Created with Sphinx

Language: TeX - Size: 786 KB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

alexrod61/regression-cookbook

The repository contains all the source files for the Regression Cookbook (Now with Machine Learning and Stats Flavours!). This textbook aims to set a common ground between machine learning and statistics regarding linear regression techniques using Python and R under two perspectives: inference and prediction.

Language: R - Size: 47.7 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

aml4td/website

Website sources for Applied Machine Learning for Tabular Data

Language: TeX - Size: 754 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 136 - Forks: 12

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).

Size: 24.9 MB - Last synced at: 1 day ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 2

Jstacs/Jstacs

Language: Java - Size: 36.8 MB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 19 - Forks: 4

statmlben/rankseg

RankSEG: A consistent ranking-based framework for segmentation

Language: Jupyter Notebook - Size: 63.5 MB - Last synced at: 8 days ago - Pushed at: 2 months ago - Stars: 24 - Forks: 2

owainlewis/awesome-artificial-intelligence

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Size: 273 KB - Last synced at: 8 days ago - Pushed at: 4 months ago - Stars: 11,783 - Forks: 1,964

unpingco/Python-for-Probability-Statistics-and-Machine-Learning

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

Language: Jupyter Notebook - Size: 8.55 MB - Last synced at: 8 days ago - Pushed at: over 2 years ago - Stars: 771 - Forks: 298

Techtonique/ahead

Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)

Language: R - Size: 9.79 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 22 - Forks: 6

decisionintelligence/TFB

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

Language: Python - Size: 4.77 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 483 - Forks: 56

JWarmenhoven/ISLR-python

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

Language: Jupyter Notebook - Size: 20.9 MB - Last synced at: 9 days ago - Pushed at: over 2 years ago - Stars: 4,309 - Forks: 2,430

TeddYenn/stat2vis

Collection of Applications for Visualizing Statistical Concepts

Language: Python - Size: 1000 Bytes - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

simon-hirsch/rolch

A package for online distributional regression.

Language: Python - Size: 3.8 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 13 - Forks: 5

machinelearnjs/machinelearnjs

Machine Learning library for the web and Node.

Language: TypeScript - Size: 2.76 MB - Last synced at: about 15 hours ago - Pushed at: 14 days ago - Stars: 542 - Forks: 53

JuliaEarth/GeoStats.jl

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

Language: Julia - Size: 21.9 MB - Last synced at: 6 days ago - Pushed at: 16 days ago - Stars: 537 - Forks: 64

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 - Size: 983 MB - Last synced at: 10 days ago - Pushed at: about 1 month ago - Stars: 2,539 - Forks: 606

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 - Size: 57.6 MB - Last synced at: 8 days ago - Pushed at: almost 4 years ago - Stars: 878 - Forks: 272

daviddalpiaz/r4sl

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

Language: Shell - Size: 172 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 73 - Forks: 62

mikenguyen13/data_analysis

Streamline a data analysis process

Language: HTML - Size: 2.75 GB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 73 - Forks: 40

giscience-fsu/sperrorest

Spatial error estimation and variable importance

Language: R - Size: 117 MB - Last synced at: 10 days ago - Pushed at: 3 months ago - Stars: 20 - Forks: 3

semoglou/composite_silhouette

A clustering evaluation framework that combines micro- and macro-averaged silhouette scores into a composite metric using statistical weighting.

Language: Jupyter Notebook - Size: 1.71 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

benedekrozemberczki/awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

Language: Python - Size: 870 KB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 2,398 - Forks: 341

smartcorelib/smartcore

A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

Language: Rust - Size: 1.47 MB - Last synced at: 10 days ago - Pushed at: about 1 month ago - Stars: 775 - Forks: 83

yangwu1227/python-for-machine-learning

Machine Learning & Statistical Learning

Language: Python - Size: 955 MB - Last synced at: 4 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

yi-zhang/STHD

STHD: probabilistic cell typing of Single spots in whole Transcriptome spatial data with High Definition

Language: Jupyter Notebook - Size: 2.91 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 16 - Forks: 4

wzyonggege/statistical-learning-method

《统计学习方法》笔记-基于Python算法实现

Language: Jupyter Notebook - Size: 211 KB - Last synced at: 13 days ago - Pushed at: over 7 years ago - Stars: 2,089 - Forks: 670

AlessandroCorradini/Stanford-University-Statistical-Learning

Repo for Statistical Learning course offered by Stanford University

Language: HTML - Size: 14.6 MB - Last synced at: 14 days ago - Pushed at: over 5 years ago - Stars: 48 - Forks: 21

translationalneuromodeling/tapas

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

Language: MATLAB - Size: 164 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 230 - Forks: 93

tirthajyoti/Papers-Literature-ML-DL-RL-AI

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Size: 495 MB - Last synced at: 15 days ago - Pushed at: about 2 years ago - Stars: 2,562 - Forks: 755

annalisaxamin/SL_homeworks

Homeworks for Statistical Learning course (Prof. Vinciotti) @ University of Trento

Language: HTML - Size: 3.65 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

danhalligan/ISLRv2-solutions

Solutions to "An Introduction to Statistical Learning with Applications in R second edition"

Language: CSS - Size: 42.5 MB - Last synced at: 16 days ago - Pushed at: 4 months ago - Stars: 126 - Forks: 34

sbogde/pandamonium

Social distancing from clean code: the Jessops approach to Data Mining.

Language: HTML - Size: 23.6 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

pzuehlke/ISLP

Introduction to Statistical Learning with Python

Language: Jupyter Notebook - Size: 38.6 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

MRCIEU/awesome-ai

Awesome list for all things AI, ML and deep learning

Size: 116 KB - Last synced at: 10 days ago - Pushed at: almost 5 years ago - Stars: 56 - Forks: 7

khanhnamle1994/statistical-learning

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

Language: R - Size: 12.2 MB - Last synced at: 11 days ago - Pushed at: over 7 years ago - Stars: 257 - Forks: 122

HosseinAtrsaei/Logistic-Regression

Logistic Regression implementation for binary classification tasks as part of MICAS911 (Statistical Learning). Includes sigmoid activation, cost function visualization, and model evaluation.

Language: Jupyter Notebook - Size: 451 KB - Last synced at: 26 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

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 - Size: 28.4 MB - Last synced at: 11 days ago - Pushed at: almost 7 years ago - Stars: 287 - Forks: 126

DrWaleedAYousef/Teaching

Teaching Materials for Dr. Waleed A. Yousef

Language: Mathematica - Size: 157 MB - Last synced at: 9 days ago - Pushed at: 10 months ago - Stars: 1,004 - Forks: 319

ComputationalPsychiatry/RegressionDynamicCausalModeling.jl

A Julia package for estimating directed connectivity in whole-brain networks

Language: Julia - Size: 1.35 MB - Last synced at: 16 days ago - Pushed at: 3 months ago - Stars: 10 - Forks: 0

agrumery/aGrUM

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).

Language: Jupyter Notebook - Size: 326 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 34 - Forks: 0

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

Language: Jupyter Notebook - Size: 9.76 MB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 23 - Forks: 3

cran-task-views/MachineLearning

CRAN Task View: Machine Learning & Statistical Learning

Size: 80.1 KB - Last synced at: 7 days ago - Pushed at: about 2 months ago - Stars: 14 - Forks: 7

xRiskLab/woeboost

Weight of Evidence (WOE) Gradient Boosting

Language: Python - Size: 4.45 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 6 - Forks: 0

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.

Size: 254 KB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 181 - Forks: 22

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 - Size: 45.4 MB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 196 - Forks: 77

semoglou/statistical_composite_silhouette

A clustering evaluation framework that combines micro- and macro-averaged silhouette scores into a composite metric using statistical weighting.

Size: 11.7 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

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 - Size: 297 KB - Last synced at: 21 days ago - Pushed at: over 6 years ago - Stars: 58 - Forks: 21

iutzeler/skwdro

Distributionally robust machine learning with Pytorch and Scikit-learn wrappers

Language: Python - Size: 1.03 MB - Last synced at: 10 days ago - Pushed at: 2 months ago - Stars: 14 - Forks: 0

akomarla/ExpSmoothing

A simple introduction to statistical learning for time-series forecasting using the Holt Simple Exponential Smoothing method

Language: Python - Size: 92.8 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

fchamroukhi/SaMUraiS

StAtistical Models for the UnsupeRvised segmentAion of tIme-Series

Language: R - Size: 10.8 MB - Last synced at: 19 days ago - Pushed at: about 5 years ago - Stars: 11 - Forks: 1

Techtonique/mlsauce_r

Miscellaneous statistical/machine learning stuff

Language: R - Size: 53.7 KB - Last synced at: 9 days ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

Techtonique/learningmachine

Machine Learning with uncertainty quantification and interpretability

Language: R - Size: 3.56 MB - Last synced at: 9 days ago - Pushed at: about 1 month ago - Stars: 5 - Forks: 1

Shahriar-0/Data-Science-Course-Projects-S2024

different data science projects like data scraping, hypothesis testing, data visualization, training machine learning models and more

Language: Jupyter Notebook - Size: 173 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 2

Techtonique/bcn

Boosted Configuration (Neural) Networks

Language: R - Size: 298 KB - Last synced at: 9 days ago - Pushed at: about 1 month ago - Stars: 5 - Forks: 0

leonard-seydoux/earth-data-science-public

Lecture notes and notebooks for statistical data analysis and machine learning in Earth science

Language: Jupyter Notebook - Size: 142 MB - Last synced at: 13 days ago - Pushed at: about 2 months ago - Stars: 5 - Forks: 1

OliverHennhoefer/awesome-ts-anomaly-detection-datasets

Extensive collection of tabular time-series anomaly detection datasets.

Size: 18.4 MB - Last synced at: about 13 hours ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 1

Aaryan-Agr/Crime-And-Housing-Analysis

This project analyzes crime data and its impact on the Housing Price Index (HPI) across various U.S. cities. Using regression modeling and exploratory data analysis (EDA), the goal was to identify key socio-economic factors influencing crime rates and HPI trends over multiple years.

Size: 4.98 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

giovani-gutierrez/predicting_personality

Classifying participants as either introverts or extroverts using machine/statistical learning methods.

Language: TeX - Size: 1.28 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

YanivZimmer/Agent-Nego

Agent for IJCAI 2022 conference- Automated Negotiation Agents Competition (ANAC)

Language: Jupyter Notebook - Size: 34.2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 4 - Forks: 0

deepanshs/mrinversion

Linear inversion of two-dimensional isotropic-anisotropic NMR correlation spectrum.

Language: Python - Size: 9.27 MB - Last synced at: 18 days ago - Pushed at: 4 months ago - Stars: 6 - Forks: 2

giuleo129/DataAnalysis

This folder contains two projects focused on data analysis and statistical learning using R, covering exploratory data analysis, modeling, and predictive techniques.

Language: HTML - Size: 4.81 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

tndoan/ISLR.jl

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

Language: Jupyter Notebook - Size: 4.01 MB - Last synced at: 11 days ago - Pushed at: over 4 years ago - Stars: 144 - Forks: 24

Eurus-Holmes/Statistics-Base

Code for the book: "Statistical Learning Methods, by Hang Li".

Language: Jupyter Notebook - Size: 14.5 MB - Last synced at: 3 days ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 2

solar-san/Kaggle-DataQuests

Repository for all my Kaggle code!

Language: HTML - Size: 37.6 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ellenbell/4008Y

This is the workbook for Introduction to Data Science which falls within the BIO-4008Y Skills for Biologists module at the University of East Anglia. Feel free to use this resource for your own learning and teaching, however if you do use this resource I would be grateful if you could let me know at [email protected] and cite appropriately.

Language: TeX - Size: 92.1 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Albi1999/Starbucks_beverage_calories_prediction_models

Starbucks Beverage Calories Prediction Models

Language: R - Size: 61.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1

ben-aaron188/snlp

2-day course on Statistical Natural Language Processing in R (foundational level)

Language: HTML - Size: 127 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1

emma35johnson/STAT5211

STAT 5211: Statistical Learning (coursework) at University of Minnesota - Duluth

Size: 8.71 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

erictleung/data-science-resources

:earth_americas: Readings and resource materials for data science

Size: 231 KB - Last synced at: 17 days ago - Pushed at: 3 months ago - Stars: 30 - Forks: 1

Techtonique/mlsauce

Miscellaneous Statistical/Machine Learning stuff (currently Python & R)

Language: Jupyter Notebook - Size: 28.6 MB - Last synced at: 9 days ago - Pushed at: 5 months ago - Stars: 7 - Forks: 2

danhalligan/ISLRv2-solutions-template

A bookdown template for solutions to Introduction to Statistical Learning second edition

Language: CSS - Size: 480 KB - Last synced at: 21 days ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 0

madebypixel02/Statistical-Learning-Practices-2021

[R] Repo to save the code from my statistical learning practices

Language: CSS - Size: 58 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

luisdamiano/BayesHMM

Full Bayesian Inference for Hidden Markov Models

Language: R - Size: 69.9 MB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 40 - Forks: 20

MathWorks-Teaching-Resources/Descriptive-Stats-and-Probability

Interactive courseware module that addresses common foundational-level concepts taught in statistics courses.

Language: MATLAB - Size: 1.17 MB - Last synced at: 12 days ago - Pushed at: 6 months ago - Stars: 8 - Forks: 7

yeatmanlab/AFQ-Insight

THIS SOFTWARE HAS MOVED!

Language: Python - Size: 41.3 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 9 - Forks: 10

njtierney/broomstick

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

Language: R - Size: 88.9 KB - Last synced at: 17 days ago - Pushed at: over 1 year ago - Stars: 29 - Forks: 1

statistical-reinforcement-learning/statistical-reinforcement-learning.github.io

My solutions to Prof. Sasha Rakhlin's book on Statistical Reinforcement Learning and Decision Making.

Language: HTML - Size: 4.98 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

Oyebamiji-Micheal/Introduction-to-Statistical-Learning-with-Python

Python implemented solution to exercises in the 'introduction to statistical learning with R' textbook

Language: Jupyter Notebook - Size: 493 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

hongyehu/Hamiltonian-driven-shadow-tomography-page

A blog introducing the idea of classical shadow tomography, and Hamiltonian-driven shadow tomography of quantum states(https://arxiv.org/pdf/2102.10132.pdf)

Size: 6.72 MB - Last synced at: 7 days ago - Pushed at: almost 4 years ago - Stars: 25 - Forks: 2

makeyourownmaker/mixupy

Python package for data augmentation inspired by Mixup: Beyond Empirical Risk Minimization

Language: Python - Size: 48.8 KB - Last synced at: 6 days ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

maxxhvo/Modelling_Climate_Change_Via_Indicators

Statistical Modelling and Data Visualization of a Climate Change Dataset (January 1984 to December 2008 ) Sourced from Kaggle

Language: HTML - Size: 15.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

neurodata/value-of-ood-data

The value of out-of-distribution data (ICML 2023)

Language: Python - Size: 14.7 MB - Last synced at: 17 days ago - Pushed at: 6 months ago - Stars: 10 - Forks: 0

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.

Language: Python - Size: 42.1 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 27 - Forks: 4

yixuan/temperflow

Efficient Multimodal Sampling via Tempered Distribution Flow

Language: Python - Size: 3.11 MB - Last synced at: 11 days ago - Pushed at: about 2 years ago - Stars: 11 - Forks: 2

francescobaio/SMMhomeworks

This repository contains comprehensive solutions and analyses for four key homework assignments in the realm of Statistical and Machine Learning. The repository is structured to include both the original PDFs of the homework assignments and Jupyter notebooks that provide detailed code solutions.

Language: Python - Size: 43.3 MB - Last synced at: 25 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

RatulGhosh/awesome-machine-learning

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

Size: 21.5 KB - Last synced at: 8 days ago - Pushed at: over 4 years ago - Stars: 137 - Forks: 46

rivas-lab/snpnet

snpnet - Efficient Lasso Solver for Large-scale genetic variant data

Language: R - Size: 7.52 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 18 - Forks: 3

Ronlee12355/R-and-Machine-Learning

several R scripts about Machine Learning that I code

Language: R - Size: 66.4 KB - Last synced at: 11 days ago - Pushed at: almost 4 years ago - Stars: 9 - Forks: 7

GVourvachakis/Gamma_distribution_aware_MDS-based_heuristic_algorithm

A Distribution Aware MDS-based Heuristic Algorithm for Large-Scale Data Dimensionality Reduction

Language: Jupyter Notebook - Size: 354 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 1

DragonWarrior15/statistical-learning-notes

Notes for Statistical Learning

Language: Python - Size: 7 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 6 - Forks: 3

shararezr/StatisticalLearning

"Life Expectancy (WHO)" Statistical Analyzing of the Life Expectancy dataset

Language: HTML - Size: 18 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

madrury/py-glm

Generalized Linear Models in Sklearn Style

Language: Python - Size: 572 KB - Last synced at: 18 days ago - Pushed at: almost 5 years ago - Stars: 128 - Forks: 31

Arko-Sengupta/Machine-Learning-Models

Medium Articles Code for Machine Learning Models

Language: Python - Size: 9.77 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

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 - Size: 4.6 MB - Last synced at: 5 months ago - Pushed at: about 3 years ago - Stars: 404 - Forks: 83

Related Keywords
statistical-learning 583 machine-learning 263 r 118 statistics 96 data-science 91 python 82 statistical-analysis 57 deep-learning 50 machine-learning-algorithms 39 statistical-models 33 regression 30 artificial-intelligence 30 classification 30 statistical-inference 29 linear-regression 27 data-visualization 27 logistic-regression 23 unsupervised-learning 22 data-analysis 22 islr 21 jupyter-notebook 18 statistical-methods 18 clustering 17 python3 17 machinelearning 16 supervised-learning 15 random-forest 15 linear-algebra 13 neural-networks 12 probability 12 data-mining 12 regularization 12 exploratory-data-analysis 12 r-programming 11 datascience 11 scikit-learn 10 time-series 10 numpy 10 bayesian-inference 10 regression-models 10 cross-validation 9 java 9 statistics-course 9 pca 8 predictive-modeling 8 neural-network 8 computer-vision 8 decision-trees 8 data 8 statsmodels 7 pandas 7 eda 7 statistical-tests 7 nlp 7 svm-classifier 7 rstats 7 rstudio 7 sklearn 7 em-algorithm 7 hidden-markov-models 6 feature-engineering 6 support-vector-machines 6 algorithms 6 xgboost 6 tensorflow 6 regression-analysis 6 bayesian-statistics 6 time-series-analysis 6 ml 6 natural-language-processing 6 linear-models 6 svm 6 pytorch 6 hypothesis-testing 6 bioinformatics 5 matlab 5 multiple-linear-regression 5 optimization-algorithms 5 model-selection 5 gradient-boosting 5 principal-component-analysis 5 classification-model 5 applied-statistics 5 r-package 5 matplotlib 5 lda 5 ai 5 textbook 5 reinforcement-learning 5 learning 5 rmarkdown 5 optimization 5 kaggle 5 analysis 5 ridge-regression 5 lasso-regression 4 lasso 4 prediction 4 r-markdown 4 data-augmentation 4