Ensemble Integration: a customizable pipeline for generating multi-modal, heterogeneous ensembles
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Updated
Oct 30, 2024 - Python
Ensemble Integration: a customizable pipeline for generating multi-modal, heterogeneous ensembles
Nested Cross-Validation for Bayesian Optimized Gradient Boosting
Experimenting with various implementations and methods of nested cross-validation in R and Python
Nested Cross-Validation for Bayesian Optimized Linear Regularization
Python package customizing nested cross validation for tabular data.
Using scikit-learn RandomizedSearchCV and cross_val_score for ML Nested Cross Validation
A Knn algorithm used for train a model and prediction
Implementation of (Kernel) Ridge Regression predictors from scratch on Kaggle's Spotify Tracks Dataset.
Internally validated 30-day mortality prediction after acute myocardial infarction using ridge logistic regression, repeated nested cross-validation, calibration, bootstrap uncertainty and decision-curve analysis.
End-to-end MLOps pipeline predicting corporate bankruptcy from 95 financial ratios. Features nested CV, SHAP explainability, MLflow tracking, and Dockerized FastAPI deployment.
❤️ 🩸 Blood test classifier for infected COVID-19 patients using xgb, catboost, rf and lr
nestkit: a nested cross-validation toolkit for scikit-learn
Python implementation of a nested cross-validation pipeline compatible with scikit-learn API.
Predicting UK residential retrofit potential from EPC open data using Random Forest, XGBoost, Logistic Regression and SVM under nested cross-validation
🚀 Optimize TensorFlow models with the Nested Learning Optimizer for improved performance, faster convergence, and enhanced training stability.
Nested cross-validation study with Pearson correlation feature selection for breast cancer classification, reporting unbiased generalization estimates.
Governance-first, leakage-resistant predictive modelling for Gazepoint research workflows in Python.
Multiclass sentiment analysis on Amazon product reviews using lexicon-based and machine learning models, including AFINN, TF-IDF + XGBoost with nested cross-validation.
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