GitHub topics: resampling-methods
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
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ManuelSerna/ml-notes
This repository contains some programs which helped me understand several topics in machine learning (e.g. regression, classification, resampling, trees, SVMs, clustering, neural nets, etc.).
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mlr-org/mlr3spatiotempcv
Spatiotemporal resampling methods for mlr3
Language: TeX - Size: 450 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 51 - Forks: 9
Schrausser/HP_Prime_MATH
Mathematical and statistical applications for HP Prime.
Language: Pascal - Size: 402 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
Schrausser/Various_programs
Tools for simple calculations, bootstrapping, permutation tests etc.
Language: Assembly - Size: 352 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
open-source-modelling/stationary_bootstrap_python
Resampling procedure for weakly dependent stationary observations.
Language: Jupyter Notebook - Size: 132 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 1
VictoorV/Bootstrap_MCMC
Ce projet estime les paramètres d'un modèle via le maximum de vraisemblance et compare des intervalles de confiance obtenus par bootstrap. Il développe également des outils d'analyse des fréquences de lettres, utilisant un algorithme MCMC pour déchiffrer efficacement un message codé.
Language: R - Size: 1.23 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
Schrausser/PRM
Permutation methods calculator. Android application for the calculation of permutation tests.
Language: QuickBASIC - Size: 873 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
KizMan-23/time_series-analysis
Time-Based Analysis projects using pandas, scikit-learn and statsmodel.tsa
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msikorski93/Credit-Card-Fraud-Detection
A binary classification task performed with machine learning in Python. The dataset's target distribution is heavily imbalanced. The model performance was evaluated with F1 scores.
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Alex-Mak-MCW/Agrifinance-Data-Science-Internship-Project
Modeling Agri-finance Credit Risk with Data & Machine Learning using Python (Jupyter Notebook)
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CIAT-DAPA/aclimate_resampling
Resampling module of AClimate
Language: Python - Size: 247 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 1
mickcrosse/PERMUTOOLS
A MATLAB package for multivariate permutation testing and effect size measurement
Language: MATLAB - Size: 1.75 MB - Last synced at: 8 months ago - Pushed at: 9 months ago - Stars: 16 - Forks: 2
Teliteu/biostatistics
solving problems with data analysis, hypotheses and the most used statistical tests in ecology
Language: R - Size: 15.6 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
nansencenter/geodataset
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NaquibAlam/TheMisfits
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alitermos/resampleR
A short script that lays out a complete resampling approach for unbiased data analysis. Data from R's ratdat library is used for demonstration.
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open-source-modelling/stationary_bootstrap_matlab
Resampling procedure for weakly dependent stationary observations.
Language: MATLAB - Size: 15.6 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1
scienceMiner/PhdThesis-DataMining
PhD Thesis (TeX) on Data Mining Temporal and Indefinite Relations using Numerical Dependencies. University College London
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Robyn2024/Credit_Risk_Classification
I'll use various techniques to train and evaluate a model based on loan risk. I will use a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.
Language: Jupyter Notebook - Size: 547 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
epicure24/Classifier-for-highly-unbalanced-data
This repo represents all the resampling techniques needed to achieve better results in highly unbalanced or skewed data that has 77 % of data in one class and rest in others.
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anaranya99/Advance-Data-Analytics-
Supervisor : Dr. Bhaswati Ganguly
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debowin/imagedit-cli
CLI Image Processing and Editing Suite
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suvasama/ISLR
Exercises in Machine Learning with R
Language: R - Size: 11.7 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0
siavashtab/SampSimu
Sampling and resampling techniques for random sample generation, estimation, and simulation
Language: Python - Size: 86.9 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1
ymeghana/Early-Detection-Of-Sepsis
To Detect Early Sepsis Disease
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YoussefEssDS/ISLR-Labs
Working through the labs of Introduction to Statistical learning with R by Hastie et al.
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Soumyajit2709/Drug-Detection-using-Graph-Embedding
It is a simple machine learning algorithm to get the latent vector of the Molecules from the datasets. After that we address the imbalance problem in the dataset and handle it by using various resampling techniques. Then we measure the performance of the algorithm by deploying various Classifiers.
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Soumyajit2709/AN-APPROACH-TO-CLASSIFY-ASTRONOMICAL-OBJECT-USING-IMBALANCED-SLOAN-DIGITAL-SKY-SURVEY-DATA
Classify stars, galaxies, and quasars with SDSS DR16 data. Balanced dataset using resampling techniques improves AdaBoost classifier's performance, enhancing astronomical object classification accuracy.
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course-files/BBT4206-R-Lab5of15-ResamplingMethods
Instructional materials (course files) for the BBT4206 course (Business Intelligence II) using R. Topic: Resampling Methods.
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berceanu/openPMD-resampler
Resampling tools for openPMD PIC data
Language: Python - Size: 26 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 23 - Forks: 1
faizee-ali/ElevationalMigration
This is an ongoing project on Characterizing, calculating and understanding(the drivers of) Elevational Migration of resient birds in the southern western Ghats.
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PeterSchuld/Stanford-StatisticalLearning
Stanford Online course STATSX0001 "Statistical Learning" follows closely the sequence of chapters in the course text "An Introduction to Statistical Learning, with Applications in R" (James, Witten, Hastie, Tibshirani - Springer 2013). Trevor Hastie Professor of Statistics and of Biomedical Data Sciences, Stanford University, and Robert Tibshirani Professor of Biomedical Data Science and Statistics, Stanford University
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mjuez/ensemble-classification-imbalance-bigdata
⚖⚡ Experimental evaluation of ensemble classifiers for imbalance in Big Data.
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namnguyen0690/Credit_Card_Fraud_Detection
Deal with imbalanced classification problem in credit card fraud detection
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Mun-Min/Credit_Risk_Classification
Credit risk poses a classification problem that’s inherently imbalanced. Using a dataset of historical lending activity from a peer-to-peer lending services company, build a model that can identify the creditworthiness of borrowers.
Language: Jupyter Notebook - Size: 2.73 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
ceyxasm/histopathologic-cancer-detection
In this project, we perform exploratory analysis on the data and try out different models to give the best results.
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timeamagyar/kdd-cup-99-python
Analysis and preprocessing of the kdd cup 99 dataset using python and scikit-learn
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jrnold/resamplr
R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.
Language: R - Size: 634 KB - Last synced at: 27 days ago - Pushed at: almost 7 years ago - Stars: 34 - Forks: 4
Baldo431/Credit_Risk_Analysis
Analysis on the performance of machine learning resampling and classification models to identify loan applicant credit risk.
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busybee21/Resampling-Projects
Size: 1.43 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
joellesophya/BRASS
Binary trait Resampling method Adjusting for Sample Structure
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friturier/java-resamplers
A collection of statistical resampling methods
Language: Java - Size: 10.7 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1
prakharjadaun/Image-Processing
Repository contains the assignment that I have implement under the subject Image processing and pattern analysis.
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akthersr/Credit_Risk_Analysis
In this analysis we build and evaluate several machine learning algorithms by resampling models to predict credit risk.
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Arvindhh931/Healthcare_Analyitics-CAPSTONE-Project-
Importance of HBA1c in predictive Modeling of probability of Hospital Re-admission (CAPSTONE PROJECT)
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L-VinayKumar/EDA-with-Time-Series-
Time Series
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Peteresis/Credit_Risk_Analysis
Using Supervised Machine Learning algorithms to identify credit risks
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JosephKBS/21fall_statcomp
course sub-material for statistical computing class (2021 Fall)
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Geneille/Credit_Risk_Analysis
Build and evaluate several machine learning algorithms to predict credit risk
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kulia/whittaker-shannon-interpolation
Constructs a continuous-time function from a list of real numbers.
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rkp678/Unit11_Homework
Unit 11 Homework - Risky Business
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Mathias-Fuchs/Ustatistics
A small C library for computation of U-statistics
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kaushikmanikonda/Data-Analysis-Using-Python-OCNG_669_Geosciences
Python for Geosciences: Basic python, Numpy, Matplotlib, Pandas, Data analysis, Data Visualization
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joseferncruz/datascience_projects
Repository with code and notebooks used to train myself in statistics, probability and machine learning using publicly available datasets.
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SaashaJoshi/Machine-Learning-Algorithms
Machine Learning algorithms and code snippets in Python
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ruivieira/java-resamplers Fork of friturier/java-resamplers
A collection of statistical resampling methods
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