Projects in Awesome Lists tagged with resampling-methods

https://github.com/mlr-org/mlr3spatiotempcv

Spatiotemporal resampling methods for mlr3

cross-validation mlr3 r r-package resampling resampling-methods spatial temporal

Last synced: 10 Apr 2025

https://github.com/jrnold/resamplr

R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.

bootstrap cross-validation jackknife modelr permutation resampling-methods rolling-windows tidyverse

Last synced: 27 Oct 2025

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: 02 Mar 2026

https://github.com/kulia/whittaker-shannon-interpolation

Constructs a continuous-time function from a list of real numbers.

dsp interpolation resampling resampling-methods sampling signal-processing

Last synced: 03 Oct 2025

https://github.com/kizman-23/time_series-analysis

Time-Based Analysis projects using pandas, scikit-learn and statsmodel.tsa

resampling-methods stationarity-test statsmodel time-series-analysis

Last synced: 09 Nov 2025

https://github.com/aishwaryagade02/predicting-student-dropout-rate

Build predictive models to identify students at risk of dropping out, using their demographic, academic, and social indicators.

cross-validation data-cleaning data-preprocessing dimensionality-reduction hyperparameter-tuning model-selection model-testing model-training-and-evaluation predictive-modeling r resampling-methods

Last synced: 12 Aug 2025

https://github.com/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.

bootstrap data-science language-model mcmc monte-carlo-methods python r regression-models resampling-methods statistics

Last synced: 08 May 2026

https://github.com/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.

adasyn balanced-bagging binary-classification class-imbalance-handling credit-card-fraud f1-score k-means k-nearest-neighbors light-gradient-boosting-machine logistic-regression naive-bayes near-miss random-oversampling random-undersampling resampling-methods smote-enn tensorflow