Projects in Awesome Lists tagged with cross-validation

https://github.com/RubixML/ML

A high-level machine learning and deep learning library for the PHP language.

ai algorithm analytics anomaly-detection artificial-intelligence classification clustering cross-validation data-science deep-learning machine-learning machine-learning-library natural-language-processing neural-network php php-ai php-machine-learning php-ml prediction regression

Last synced: 31 Jul 2024

https://github.com/trent-b/iterative-stratification

scikit-learn cross validators for iterative stratification of multilabel data

cross-validation multilabel multilabel-classification scikit-learn stratification

Last synced: 29 Sep 2024

https://github.com/WenjieZ/TSCV

Time Series Cross-Validation -- an extension for scikit-learn

backtesting cross-validation data-science hyperparameter-optimization machine-learning model-selection time-series tuning-parameters

Last synced: 01 Aug 2024

https://github.com/alex-lekov/automl_alex

State-of-the art Automated Machine Learning python library for Tabular Data

auto-ml automatic-machine-learning automl cross-validation data-science data-science-projects hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-library machine-learning-models ml model-selection optimisation python sklearn stacking stacking-ensemble xgboost

Last synced: 26 Sep 2024

https://github.com/Alex-Lekov/AutoML_Alex

State-of-the art Automated Machine Learning python library for Tabular Data

auto-ml automatic-machine-learning automl cross-validation data-science data-science-projects hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-library machine-learning-models ml model-selection optimisation python sklearn stacking stacking-ensemble xgboost

Last synced: 05 Aug 2024

https://github.com/heidelbergcement/hcrystalball

A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.

cross-validation data-science fbprophet model-selection pmdarima sarimax sklearn sklearn-api sklearn-compatible sklearn-library sktime statsmodels tbats time-series time-series-forecasting transformer wrapper

Last synced: 26 Sep 2024

https://github.com/stan-dev/loo

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics cross-validation information-criterion model-comparison r-package stan

Last synced: 02 Aug 2024

https://github.com/rvalavi/blockCV

The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments. See

cross-validation r r-package rstats spatial spatial-cross-validation spatial-modelling species-distribution-modelling

Last synced: 05 Aug 2024

https://github.com/raamana/neuropredict

Easy and comprehensive assessment of predictive power, with support for neuroimaging features

anatomical-mri cross-validation easy-to-use functional-connectivity machine-learning neuroimaging nilearn pattern-recognition report resting-state scikit-learn structural-imaging tract-based-statistics tractography

Last synced: 02 Aug 2024

https://github.com/gmontamat/gentun

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

convolutional-neural-networks cross-validation distributed-algorithm distributed-genetic-algorithm gene-encoding genetic-algorithm genetic-algorithms grid-search hyperparameter-optimization hyperparameter-tuning keras machine-learning master-worker scikit-learn tensorflow xgboost

Last synced: 30 Sep 2024

https://github.com/mljs/libsvm

LIBSVM for the browser and nodejs :fire:

classification cross-validation emscripten libsvm regression support-vector-machine svm

Last synced: 04 Aug 2024

https://github.com/GDSL-UL/san

Spatial Modelling for Data Scientists

book cross-validation data-science geographically-weighted-regression maps moran-i multilevel-models r r-spatial spatial-analysis spatial-econometrics

Last synced: 13 Aug 2024

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

Spatiotemporal resampling methods for mlr3

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

Last synced: 05 Aug 2024

https://github.com/samcomber/spacv

Spatial cross-validation in Python.

cross-validation data-science geographic-data-science machine-learning python scikit-learn scikitlearn-machine-learning sklearn spatial-data-science

Last synced: 26 Sep 2024

https://github.com/SamComber/spacv

Spatial cross-validation in Python.

cross-validation data-science geographic-data-science machine-learning python scikit-learn scikitlearn-machine-learning sklearn spatial-data-science

Last synced: 31 Jul 2024

https://github.com/raamana/confounds

Conquering confounds and covariates: methods, library and guidance

biostatistics classification combat confound confounding covariates cross-validation deconfounding machine-learning neuroimaging neuroscience regression scikit-learn statistics

Last synced: 02 Aug 2024

https://github.com/darya-chyzhyk/confound_prediction

Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.

biomarkers confound confounding cross-validation deconfounding machine-learning neuroscience prediction statistical-tests subsampling

Last synced: 02 Aug 2024

https://github.com/ledell/cvAUC

Computationally efficient confidence intervals for cross-validated AUC estimates in R

auc confidence-intervals cross-validation machine-learning r statistics variance

Last synced: 02 Aug 2024

https://github.com/giscience-fsu/sperrorest

Spatial error estimation and variable importance

cross-validation machine-learning r-package rstats spatial-statistics spatio-temporal-modeling statistical-learning

Last synced: 05 Aug 2024

https://github.com/franneck94/tensorcross

Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets

cross-validation dataset grid-search gridsearch gridsearchcv python random-search tensorflow tensorflow-datasets tensorflow2 validation

Last synced: 30 Sep 2024

https://github.com/devssh/svm

Learn to use Support Vector Machines in Python(sklearn) and R

anaconda credit-card-fraud cross-validation grid-search ipython-notebook jupyter-notebook kaggle matplotlib mushroom-classification pandas pyplot python r rbf rstudio sklearn support-vector-machines svm

Last synced: 29 Sep 2024

https://github.com/vanilla-rtb/blockchainilla

integration of real-time bidding framework with blockchains

blockchain consensus cross-validation decentralized decentralized-applications eosio openrtb vanilla-rtb

Last synced: 01 Aug 2024

https://github.com/giuseppegrieco/keras-tuner-cv

Extension for keras tuner that adds a set of classes to implement cross validation techniques.

cross-validation keras keras-tuner keras-tuner-cross-validation

Last synced: 30 Sep 2024

https://github.com/paveles/Machine_Learning_and_Equity_Index_Returns

Machine Learning and Equity Index Returns

cross-validation machine-learning predictive-modeling stock-market

Last synced: 31 Jul 2024

https://github.com/ekagra-ranjan/Optimal-Bidding

Inter IIT Techmeet 2017, IIT Madras - Data Science Competition

bid-price bidding boosting-algorithm cross-validation data-science data-science-challenges data-science-competition electricity-market ensemble feature-engineering feature-extraction feature-selection gradient-boosting-machine interiit knn linear-regression market-price random-forest sklearn svm

Last synced: 03 Aug 2024

https://github.com/ltfschoen/ml-predictions

Machine Learning engine generates predictions given any dataset using regression

aws-lambda binary-classification continous-integration correlation cross-validation hyperparameter-optimization k-means-clustering knn-regression linear-regression logistic-regression matplotlib multi-classify-with-sklearn multivariate-models pandas-dataframes prediction-algorithm root-mean-squared-error-metric scikit-learn scipy similarity-metric unittest

Last synced: 01 Oct 2024

https://github.com/bettercallshao/sklearn_surrogatesearchcv

Surrogate adaptive randomized search for hyper-parameters tuning in sklearn.

cross-validation data-science hyper-parameter-tuning machine-learning optimization pysot python sklearn surrogate-based-optimization

Last synced: 30 Sep 2024

https://github.com/ekagra-ranjan/Analyze-This-18

(National Rank: 22) Analyze This' 18, American Express Data Science Competition

american-express americanexpress analyze-this boosting-algorithms corelib credit-card cross-validation data-science data-science-challenges data-science-competition ensemble feature-engineering feature-extraction feature-selection gradient-boosting-machine random-forest sklearn svm xgb-classifier xgboost

Last synced: 03 Aug 2024

https://github.com/radlfabs/flexcv

Python package customizing nested cross validation for tabular data.

cross-validation grouped-datasets machine-learning mixed-effects mixed-effects-models neptune-ai nested-cross-validation regression regression- regression-models sklearn tabular-data xgboost

Last synced: 26 Sep 2024

https://github.com/glubbdubdrib/lazygrid

Automatic, efficient and flexible implementation of complex machine learning pipeline generation and cross-validation.

artificial-intelligence cross-validation database grid-search grid-search-hyperparameters keras machine-learning memoization model-comparison model-selection neural-networks openml optimization pipeline python scikit-learn tensorflow

Last synced: 26 Sep 2024

https://github.com/ekagra-ranjan/GS-Quantify-17

GS-Quantify' 17, Goldman Sachs Data Science Competition

boosting-algorithm cross-validation data-science data-science-challenges data-science-competition ensemble feature-engineering feature-extraction feature-selection goldmann-sachs gradient-boosting-machine gs-quantify gsquantify linear-regression sklearn xgb-classifier xgboost

Last synced: 03 Aug 2024

https://github.com/ekagra-ranjan/Analyze-This-17

Analyze This' 17, American Express Data Science Competition ('Outstanding Performer')

american-express americanexpress analyze-this boosting-algorithm corelib credit-card cross-validation data-science data-science-challenges data-science-competition ensemble feature-engineering feature-extraction feature-selection gradient-boosting-machine random-forest sklearn svm xgb-classifier xgboost

Last synced: 03 Aug 2024

https://github.com/mzohaib364/house-price-prediction-model

End to End ML Project with Scikit Learn

cross-validation decision-tree-regression linear-regression random-forest-regression scikit-learn

Last synced: 29 Sep 2024

https://github.com/johannaschmidle/house-price-predictor

A machine learning model to accurately predict house prices based on various features such as quality, size, and location, utilizing Random Forest and XGBoost algorithms (Python)

anova-test cross-validation house-price-prediction machine-learning onehot-encoding ordinal-encoding python random-forest random-forest-regressors sklearn sklearn-library target-encoding visualization xgboost xgboost-model

Last synced: 26 Sep 2024