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.
Python implementation of a nested cross-validation pipeline compatible with scikit-learn API.
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
🚀 Optimize TensorFlow models with the Nested Learning Optimizer for improved performance, faster convergence, and enhanced training stability.
Predicting UK residential retrofit potential from EPC open data using Random Forest, XGBoost, Logistic Regression and SVM under nested cross-validation
Hormone Therapy Decision Support System for Breast Cancer
Computational Biology With Clicks!
Multiclass sentiment analysis on Amazon product reviews using lexicon-based and machine learning models, including AFINN, TF-IDF + XGBoost with nested cross-validation.
Routines to perform cross-validation and nested cross-validation using data transformations
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