resampling-methods

There are 0 repository under resampling-methods topic.

mlr-org / mlr3spatiotempcv
Spatiotemporal resampling methods for mlr3
mlr3 resampling spatial cross-validation temporal resampling-methods r r-package
Language:TeX 48
jrnold / resamplr
R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.
cross-validation tidyverse permutation jackknife resampling-methods rolling-windows bootstrap modelr
Language:R 34
berceanu / openPMD-resampler
Resampling tools for openPMD PIC data
openpmd particle-in-cell particles resampling-methods
Language:Python 23
timeamagyar / kdd-cup-99-python
Analysis and preprocessing of the kdd cup 99 dataset using python and scikit-learn
kdd99 python sklearn matplotlib smote cluster-centroids resampling-methods principal-component-analysis linear-separability convex-hull one-hot-encode standardization normalization
Language:Jupyter Notebook 21
mickcrosse / PERMUTOOLS
A MATLAB package for multivariate permutation testing and effect size measurement
bootstrapping-statistics matlab-toolbox permutation-test resampling-methods statistical-inference statistical-tests statistics effect-size frequentist-statistics hypothesis-testing inferential-statistics nonparametric-statistics confidence-interval
Language:MATLAB 14
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 exercise islp machine-learning python python-codes self-learning statistical-learning classification clustering deep-learning multiple-testing regression resampling-methods support-vector-machines survival-analysis tree-based-methods shrinkage-approaches
Language:Jupyter Notebook 7
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
r regression-analysis trees classification resampling-methods unsupervised-learning-algorithms
Language:HTML 7
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.
credit-risk-analysis linear-regression machine-learning-algorithms python-pandas resampling-methods
Language:Jupyter Notebook 5
open-source-modelling / stationary_bootstrap_python
Resampling procedure for weakly dependent stationary observations.
resampling-methods actuarial risk-management resampling stationarity algorithm python time-series
Language:Jupyter Notebook 4
geek-engineer / audio_process
audio resampling-methods tone
Language:C 3
kulia / whittaker-shannon-interpolation
Constructs a continuous-time function from a list of real numbers.
interpolation dsp signal-processing sampling resampling resampling-methods
Language:Haskell 3
open-source-modelling / stationary_bootstrap_matlab
Resampling procedure for weakly dependent stationary observations.
actuarial risk-management resampling resampling-methods stationarity algorithm matlab time time-series
Language:MATLAB 3
Arvindhh931 / Healthcare_Analyitics-CAPSTONE-Project-
Importance of HBA1c in predictive Modeling of probability of Hospital Re-admission (CAPSTONE PROJECT)
hospital-management-system capstone-project datavisualization exploratory-data-analysis greatlearning healthcare healthcare-datasets healthcare-management logistic-regression readmission-prediction streamlit feature-engineering feature-selection resampling-methods smote
Language:Jupyter Notebook 2
ceyxasm / histopathologic-cancer-detection
In this project, we perform exploratory analysis on the data and try out different models to give the best results.
cancer-detection cnn-classification histopathology-image-analysis pca-analysis resampling-methods
Language:Jupyter Notebook 2
chineduok / creditworthiness
predictive-analytics logistic-regression decision-tree-classifier random-forest-classifier gradient-boosting-classifier hyperparameter-optimization cross-validation resampling-methods exploratory-data-analysis data-visualization data-cleaning model-selection alteryx-workflow r udacity-machine-learning-nanodegree
Language:R 2
debowin / imagedit-cli
CLI Image Processing and Editing Suite
bmp brightness command-line-tool contrast dithering-algorithms edge-detection image-processing image-processing-app png resampling-methods scale
Language:C 2
ymeghana / Early-Detection-Of-Sepsis
To Detect Early Sepsis Disease
neural-network mlp-classifier resampling-methods logloss accuracy-metrics clinical-data
Language:Jupyter Notebook 2
anaranya99 / Advance-Data-Analytics-
Supervisor : Dr. Bhaswati Ganguly
boootstrap jackknife-resampling jackknife-variance-estimates resampling-methods
Language:R 1
busybee21 / Resampling-Projects
r resampling-methods simulation
1
christybell / Credit_Risk_Analysis
For this project, I predicted credit risk with the supervised machine learning models I built and evaluated using Python.
supervised-machine-learning python logistic-regression resampling-methods ensemble-classifier
Language:Jupyter Notebook 1
friturier / java-resamplers
A collection of statistical resampling methods
java statistics resampling-methods
Language:Java 1
kaushikmanikonda / Data-Analysis-Using-Python-OCNG_669_Geosciences
Python for Geosciences: Basic python, Numpy, Matplotlib, Pandas, Data analysis, Data Visualization
python data-analysis data-visualization matplotlib numpy pandas data-science geosciences colormaps curve-fitting interpolation-methods resampling-methods resampling
Language:Jupyter Notebook 1
Mathias-Fuchs / Ustatistics
A small C library for computation of U-statistics
statistics linear-regression cross-validation resampling resampling-methods confidence-intervals supervised-learning error-rate generalization-error machine-learning variance variance-estimation uci-machine-learning dataset
Language:C 1
minubae / closed_form_pattern_jitter_analysis
Pattern Jitter is an algorithm for generating artificial spike trains that are maximally random while preserving the smoothed firing rates and the recent spike histories in a recorded spike train.
algorithm hidden-markov-model dynamic-programming resampling-methods pattern-jitter
Language:Python 1
utsavchaudharygithub / Credit_Risk_Analysis
Credit risk is an inherently unbalanced classification problem, as good loans easily outnumber risky loans. Therefore, we needed to employ different techniques to train and evaluate models with unbalanced classes. Jill asks us to use imbalanced-learn and scikit-learn libraries to build and evaluate models using resampling
resampling-methods ensemble-machine-learning smote-oversampler random-forest smote-sampling machine-learning-algorithms
Language:Jupyter Notebook 1
YoussefEssDS / ISLR-Labs
Working through the labs of Introduction to Statistical learning with R by Hastie et al.
r statistical-learning statistics regression classification resampling-methods
Language:Jupyter Notebook 1
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.
resample resampling-methods
Language:R 0
Baldo431 / Credit_Risk_Analysis
Analysis on the performance of machine learning resampling and classification models to identify loan applicant credit risk.
classification classification-models machine-learning resampling-methods logistic-regression
Language:Jupyter Notebook 0
cami5326 / credit-risk-classification
Machine learning used to predict the loan risks and classify them as healthy loans or high-risk loans.
classification-model credit-risk logistic-regression machine-learning resampling-methods supervised-learning
Language:Jupyter Notebook 0
CIAT-DAPA / aclimate_resampling
Resampling module of AClimate
aclimate climate-scenarios resampling-methods
Language:Python 0
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.
birds citizen-science ecological-modelling migration resampling-methods
Language:R 0
L-VinayKumar / EDA-with-Time-Series-
Time Series
python matplotlib-pyplot pandas-datareader resampling-methods visualization
Language:Jupyter Notebook 0
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.
classification-report credit-risk-analysis linear-regression logistic-regression machine-learning machine-learning-algorithms predictive-modeling python-pandas resampling-methods
Language:Jupyter Notebook 0
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.
astronomy classification imbalanced-data imbalanced-learning machine-learning python resampling-methods sdss
Language:Jupyter Notebook 0
Teliteu / biostatistics
solving problems with data analysis, hypotheses and the most used statistical tests in ecology
adherence anova-test continuous-probability-distibution discrete-probability hypothesis-testing t-test variance-analysis ancova glm multiple-regression resampling-methods decision-trees ca pca k-means nmds lda manova rda cca
Language:R 0
course-files / BBT4206-Lab5of15-ResamplingMethods-R
Instructional materials (course files) for the BBT4206 course (Business Intelligence II) using R. Topic: Resampling Methods.
resampling-methods
Language:R

resampling-methods

mlr-org / mlr3spatiotempcv

jrnold / resamplr

berceanu / openPMD-resampler

timeamagyar / kdd-cup-99-python

mickcrosse / PERMUTOOLS

KarimABOUSSELHAM / ISLP-applied-solutions

PeterSchuld / Stanford-StatisticalLearning

Mun-Min / Credit_Risk_Classification

open-source-modelling / stationary_bootstrap_python

geek-engineer / audio_process

kulia / whittaker-shannon-interpolation

open-source-modelling / stationary_bootstrap_matlab

Arvindhh931 / Healthcare_Analyitics-CAPSTONE-Project-

ceyxasm / histopathologic-cancer-detection

chineduok / creditworthiness

debowin / imagedit-cli

ymeghana / Early-Detection-Of-Sepsis

anaranya99 / Advance-Data-Analytics-

busybee21 / Resampling-Projects

christybell / Credit_Risk_Analysis

friturier / java-resamplers

kaushikmanikonda / Data-Analysis-Using-Python-OCNG_669_Geosciences

Mathias-Fuchs / Ustatistics

minubae / closed_form_pattern_jitter_analysis

utsavchaudharygithub / Credit_Risk_Analysis

YoussefEssDS / ISLR-Labs

alitermos / resampleR

Baldo431 / Credit_Risk_Analysis

cami5326 / credit-risk-classification

CIAT-DAPA / aclimate_resampling

faizee-ali / ElevationalMigration

L-VinayKumar / EDA-with-Time-Series-

Robyn2024 / Credit_Risk_Classification

Soumyajit2709 / AN-APPROACH-TO-CLASSIFY-ASTRONOMICAL-OBJECT-USING-IMBALANCED-SLOAN-DIGITAL-SKY-SURVEY-DATA

Teliteu / biostatistics

course-files / BBT4206-Lab5of15-ResamplingMethods-R