stefanvezenkoski/Seminarska-Rabota-po-BS-vo-R

Семинарска работа по Бизнис Статистика

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mnicnc404/the-gap-statistic

An implementation of the gap statistic, a method for estimating the number of clusters in a set of data.

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exdsgift/STK-IN4300

Statistical Learning Methods in Data Science - Autumn 2024 (university of Oslo)

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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

Language: Python - Size: 1.22 MB - Last synced at: 6 months ago - Pushed at: 9 months ago - Stars: 2,810 - Forks: 241

coxy1989/isl

Solutions to the labs and exercises in ISL.

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rulanugrh/titania

A repository containing statistics implemented into python

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skacem/An-Introduction-to-Statistical-Learning

Personal Notes + Exercises and Applications in Python

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jiedxu/WindPowerForecast 📦

Wind Power Prediction with ECMWF Data as Input using Statistical Learning

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MathWorks-Teaching-Resources/statistics-and-probability_jp

Descriptive Statistics and Probability Distributionsの日本語版リポジトリ　Japanese version of a published repository "Descriptive Statistics and Probability Distributions"

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cpmachado/r-programming-for-statistics-and-data-science

My source code for exercises of a given udemy course on statistics

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Techtonique/bcn_python

Boosted Configuration (neural) Networks

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ChristianSoize/PLoM_matlab

Probabilistic Learning on Manifolds

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tekrei/pyML

Machine Learning with Python

Language: Jupyter Notebook - Size: 800 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 7 - Forks: 0

sbwiecko/intuitive_biostatistics

This repository contains a companion guide to Harvey Motulsky's Intuitive Biostatistics, 4th edition. The guide is designed to enhance understanding of the concepts explained in the book by providing practical examples and additional studies in a Jupyter-book format. (work in progress)

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Gao-Labs/gao-labs.github.io

Repo for public website for Gao Labs

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shengliu66/ELR

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

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JennyLeeStat/CASwR

Computational Actuarial Science with R

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Robby955/HighDimensionalData

Code used to generate results from Chapter 18 of The Elements of Statistical Learning

Language: R - Size: 367 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Gao-Labs/moveslite

R package for speedy emissions estimation using models trained on catserver data (MOVES default outputs)

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jossus657/personal-projects

Arhive of other projects not categorized into repositories.

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teobucci/slhd

Project for the Statistical Learning for Healthcare Data course of the MSc in Mathematical Engineering @ Polimi (A.Y. 2022-2023).

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thecodingmooseofficial/StatisticalLearning-WithPythonApplications

Activities include Python basics, linear and logistic regression, cross-validation, tree-based methods, SVMs, deep learning, survival analysis, unsupervised learning, and multiple testing.

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jaysc96/ST406

STAT406: Statistical Learning

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soodoku/data-science

Lecture Slides for Introduction to Data Science

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lasy/lasy.github.io Fork of academicpages/academicpages.github.io

Laura Symul's personal website

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shaazib-tanvir/linear_regression

This program predicts GDP of India via Linear Regression

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atzel-ov/Pattern-Recognition

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BodoBurger/hastie-ElemStatLearn-figures

Recreating figures from the textbook The Elements of Statistical Learning (2nd edition) by Trevor Hastie, Robert Tibshirani, and Jerome Friedman.

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yuting1214/TensorTest2D

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a-martyn/ISL-python

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

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fabian-sp/snspp

Stochastic Proximal Point algorithm for regularized statistical learning

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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)

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izakariyya/ais

Reducing computational cost in IoT cyber security using artificial immune system algorithm

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JiashuWu/Books

My book list

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landoooo/ISLP_Applied_Exercises

Personal implementation of the applied exercises of the ISLP book

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ocramz/decision-trees

Language: Haskell - Size: 116 KB - Last synced at: 7 days ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 2

EcruzDS/Proyecto_Final_SL

Proyecto Final Statistical Learning

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curiousML/curiousml.github.io

This the template of my webpage

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ariKoi/vis2rfi

Visualising 2Way Random Forest Interactions

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fchamroukhi/MEteorits

Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS

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dr-saad-la/Stats-Modeling-with-Python

Statistical Modeling with Python

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AshNumpy/Statistics-Regression-Analysis-Term-Paper

Hacettepe Üniversitesi İstatistik Bölümü regresyon analizi dersi final ödevi.

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joshday/SparseRegression.jl

Statistical Models with Regularization in Pure Julia

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gyuho/dplearn

Learn Deep Learning The Hard Way

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arpanganguli5/islr-python

"Translation" of R codes in An Introduction to Statistical Learning (2nd edition) to Python.

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leandromineti/ml-knowledge-graph

Organizing concepts related to machine learning and artificial intelligence

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Scrayil/Heart_Failure_Prediction

This project aims to predict heart failure outcomes by applying statistical learning algorithms. The goal is to improve the prediction accuracy through the SuperLearner algorithm.

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Srking501/mas8404_coursework

A summative coursework for MAS8404 Statistical Learning for Data Science

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YapWH/EZAutoMate

EZAutoMate: Your AI-powered Car Sales Advisor

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gustavecortal/statistical-learning-with-R

Slides, exercises, and exams for my course "Statistical Learning with R" (Ecole Normale Supérieure Paris-Saclay, 2023)

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camilobetanieto/StatisticalLearning

Analysis of student performances of the Open University Learning Analytics dataset by using logistic regression and various classifiers.

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dassein/cycloid_em_mlr

This repository is for the ICML'24 paper: "Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression"

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dendisuhubdy/scythe

The Scythe Statistical Library is an open source C++ library for statistical computation, written by Daniel Pemstein (University of Mississippi and University of Illinois), Kevin M. Quinn (UC Berkeley), and Andrew D. Martin (University of Michigan).

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Ricardo711/Statistics

Portfolio of statistics models, inferential statistics and different topics usign R and python.

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Scrayil/Air-Quality-Prediction

The aim of this project is to develop a machine learning model to predict the levels of CO in the air using historical datasets containing atmospheric variables. The project makes use of variables selection, decision trees, and cross-validation techniques to ensure robustness and model accuracy.

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VincentGoze/ISLP-Solutions

My solutions to the practical exercises of the book "An Introduction to Statistical Learning with applications in Python"

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dobriban/stat-ml-edu

Resources for education in statistics and machine learning: from advanced undergraduate to research level

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stoicsapien1/Statistics-Notes

This repository contains all my Statistics Notes

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aminkhod/Statistacal-Learning-TA-with-R 📦

R implementation for Statistical Learning course as TA

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mrvnthss/QuantFoundationsAI

Lecture notes taken in the Quantitative Foundations of Artificial Intelligence class in Fall 2023, taught by Prof. Dr. Ludger Overbeck at Justus Liebig University Giessen.

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IFFranciscoME/Convex-Models

Convex linear models, Linear Regression, Logistic Regression, and Support Vector Machines, to test convexity and performance by using non-linear endogenous features in time series data.

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samperochkin/learning-block-exchangeability

Some code related to our paper Per,Duc,Nes. Detection (2019). The objective is to detect block-exchangeable structures in correlation matrices. For any help, please contact me or leave a comment somewhere. I will be glad to help you.

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melmasri/traveltimeCLT Fork of AdrienHdz/traveltimeCLT

Estimating route conditional travel time and its uncertainty.

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Dishant-Sharma/Data_Science_Projects

This repository comprises of the projects and assignments that i have completed during my tenure at Great Lakes for the course program PGP-AIML. This repository also includes the lab work thatwas done during the classes and even those that were given as assessments.

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yexf308/AppliedStatistics

Applied Statistics for Data Scientists

Language: Jupyter Notebook - Size: 56.4 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 1

rahulbhadani/RNN

Recurrent Neural Network Implementation based on WildML's tutorial

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hai-h-nguyen/UNR-statistical-learning-spring-2019

UNR Statistical Learning class (STAT 760), Spring 2019

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filipeas/lipml

Library for Image Processing and Machine Learning (LIPML)

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mimirsystems/20Qs

Solving 20Questions with Machine Learning

Language: Python - Size: 198 KB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 1

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.

Language: Python - Size: 8.22 MB - Last synced at: 5 months ago - Pushed at: over 6 years ago - Stars: 12 - Forks: 6

cankocagil/BioStatistics

Differential Gene Expression, Phylogenetic tree, Sequence Alignments, Biostatistics, Bioinformatic

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ffajardo64/statistical_learning_old

Statistical learning repository

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gmandl10/DATA495.github.io

Course page for my self-directed studies course in Machine Learning in the Biosciences under supervision of Dr. Devan Becker and Dr. Sukhjit Singh Sehra at Wilfrid Laurier University.

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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.

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rduran/jhds_cert

Language: R - Size: 14.6 KB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

kayanyahska/Garima

Garima is a safe route finder web application which will allow the user to find the safest route between the source and the destination.

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starling-lab/BoostSRL

BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.

Language: Java - Size: 21.3 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 32 - Forks: 22

jolars/sgdnet

Fast Sparse Linear Models for Big Data with SAGA

Language: R - Size: 2.54 MB - Last synced at: 19 days ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 2

iamzehan/kaggle_timeseries

Time Series Forecasting

Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

equitable-equations/youtube

Materials to support learning with my YouTube channel, https://www.youtube.com/c/EquitableEquations.

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brunomontezano/islp-labs

⏳ Code from ISLP labs. It is not ready yet.

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stuticha/Data-Science-Class-Projects-

This is a compilation of all the code I have used for an advanced, graduate level data science class. Reference book: Introduction to Statistical Learning with R

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lucasangio01/statistical-learning-methods

Project on the application of unsupervised and supervised machine learning methods

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aldoiturrios/Data-Challenge-503-

Files for Data Challenge part of STAT 503 course.

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Yash182023/Gram_Daak_Seva__Recruitment_HackHound_2.0

Gram Daak Sevak Selection is a Web App for fair candidate evaluation. It offers result calculation, visualization, and filtering for efficient selection processes.

Language: Python - Size: 21.5 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

rademacher-p/stats-learn

Python package for statistical learning with a Bayesian focus

Language: Python - Size: 276 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

paulchen2713/NTHU-Statistical_Learning_2020

COM 5250 Statistical Learning 2020

Language: Python - Size: 97.8 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

mmarouen/The-Elements-Of-Statistical-Learning

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

Language: R - Size: 119 KB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 47 - Forks: 16

mickuz/lsed

Laboratory of Statistical Learning course assignments

Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

Yuri-M-Dias/R-exercises

R exercises for statistical data analysis class.

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mcreng/stat-learning 📦

ETHZ Statistical Learning Assignments

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kwsthsve/Feature_Subset_Selection-and-Classification

Find the simplest model and the best method to predict whether an observation belongs to categories LOWER/GREATER of 20% trimmed mean of "ncrim" variable. AUEB Computer Science course Statistical Learning.

Language: R - Size: 582 KB - Last synced at: 6 months ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

dlab-berkeley/MachineLearningWG

D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python

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linhphongz/Knowlegde-for-AI-ML-DL_VN

You need equip yourself the following knowlegde : Caculus, LinearAlgelbra, Probility, Algorithm ......

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MaoucheMounir/PFE-L3-Extraction_Terminologique_Non_Supervisee

Projet de fin de cycle de licence 2023 à l'USTHB portant sur l'analyse et la comparaison de méthodes statistiques non-supervisées pour l'extraction terminologique.

Language: Python - Size: 1.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

MaoucheMounir/Projet_Algorithmique_TLN

Manipulation des listes chaînées en C pour la représentation et l'apprentissage de caractéristiques statistiques des mots

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MAT555E-Fall22/MAT555E-Fall22.github.io

MAT555E-Statistical Data Analysis for Comp. Sciences

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Jiacheng-Zhu-AIML/FOT

Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data

Language: Python - Size: 8.58 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 22 - Forks: 4

ndleah/stat-learning

​📚​ Notes for ITSL

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Maleniski/EduStatTech-SRLE

This repository offers a collection of research instruments designed for a comparative study on pedagogical technology integration using SRLE model.

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