cross-validation
There are 1216 repositories under cross-validation topic.
trent-b/iterative-stratification
scikit-learn cross validators for iterative stratification of multilabel data
mdabros/SharpLearning
Machine learning for C# .Net
CynthiaKoopman/Network-Intrusion-Detection
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
sharmaroshan/Twitter-Sentiment-Analysis
It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization
WenjieZ/TSCV
Time Series Cross-Validation -- an extension for scikit-learn
Alex-Lekov/AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
alexhuang1117/Data-Science-Portfolio
A Portfolio of my Data Science Projects
stan-dev/loo
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
heidelbergcement/hcrystalball
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
autoreject/autoreject
Automated rejection and repair of bad trials/sensors in M/EEG
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
raamana/neuropredict
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
zyl200846/3D-UNet-PyTorch-Implementation
The implementation of 3D-UNet using PyTorch
Pradnya1208/Telecom-Customer-Churn-prediction
Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Churn.
gmontamat/gentun
Hyperparameter tuning for machine learning models using a distributed genetic algorithm
mljs/libsvm
LIBSVM for the browser and nodejs :fire:
GDSL-UL/san
Spatial Modelling for Data Scientists
m-clark/book-of-models
Spells for everyday living, also a book -- Models Demystified -- now available!
msmbuilder/osprey
🦅Hyperparameter optimization for machine learning pipelines 🦅
mariostrbac/environmental-sound-classification
Environmental sound classification with Convolutional neural networks and the UrbanSound8K dataset.
deadskull7/One-Stop-for-COVID-19-Infection-and-Lung-Segmentation-plus-Classification
✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2 --> COVID-19 Infection Segmentation • Task 3 --> Lung Segmentation
alejandrodebus/Pytorch-Utils
Useful functions to work with PyTorch. At the moment, there is a function to work with cross validation and kernels visualization.
hongooi73/glmnetUtils
Utilities for glmnet
BCG-X-Official/sklearndf
DataFrame support for scikit-learn.
sraashis/deepdyn
pytorch implementation of paper https://www.frontiersin.org/articles/10.3389/fcomp.2020.00035/full
RubixML/CIFAR-10
Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.
mlr-org/mlr3spatiotempcv
Spatiotemporal resampling methods for mlr3
PacktWorkshops/The-Deep-Learning-with-Keras-Workshop
An Interactive Approach to Understanding Deep Learning with Keras
tlverse/hal9001
🤠 📿 The Highly Adaptive Lasso
SamComber/spacv
Spatial cross-validation in Python.
DidierRLopes/timeseries-cv
Time-Series Cross-Validation Module
sileixinhua/Python_data_science_by_iris
iris数据集的基本数据分析方法，包括KNN,LG,NB,SVM算法。
brainhack-school2020/abide-fmri
Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
ledell/subsemble
subsemble R package for ensemble learning on subsets of data
Gscorreia89/pyChemometrics
pyChemometrics - Objects for multivariate analysis of chemometric and metabonomic datasets
darya-chyzhyk/confound_prediction
Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.