cross-validation

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

nlp machine-learning sentiment-analysis cross-validation eda data-visualization wordcloud classification data-analysis bag-of-words hashtags evaluation-metrics count-vectorizer datacleaning

UpdatedNov 3, 2023
Jupyter Notebook

WenjieZ /TSCV

Star258

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

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

UpdatedJan 23, 2023
Python

Alex-Lekov /AutoML_Alex

Star236

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

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

UpdatedOct 4, 2023
Python

alexhuang1117 /Data-Science-Portfolio

Star185

A Portfolio of my Data Science Projects

finance data-science jupyter-notebook cross-validation regression data-visualization data-analysis rmarkdown-document

UpdatedOct 8, 2019
Jupyter Notebook

stan-dev /loo

Sponsor

Star155

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

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

UpdatedDec 15, 2025
R

heidelbergcement /hcrystalball

Star150

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

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

UpdatedFeb 21, 2024
Python

autoreject /autoreject

Star148

Automated rejection and repair of bad trials/sensors in M/EEG

cross-validation meg electroencephalography preprocessing magnetoencephalography mne-python

UpdatedDec 16, 2025
Python

rvalavi /blockCV

Star115

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

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

UpdatedSep 10, 2025
R

raamana /neuropredict

Star103

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

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

UpdatedJun 26, 2025
Python

zyl200846 /3D-UNet-PyTorch-Implementation

Star101

The implementation of 3D-UNet using PyTorch

cross-validation pytorch unet semantic-segmentation volumetric-data 3d-segmentation pytorch-implementation 3d-unet

UpdatedFeb 20, 2025
Python

Pradnya1208 /Telecom-Customer-Churn-prediction

Star97

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.

python machine-learning numpy sklearn plotly cross-validation pandas classification feature-engineering model-evaluation classification-algorithm roc-auc gridsearchcv customer-churn-prediction customer-churn-analysis