Nested Cross-Validation for Bayesian Optimized Gradient Boosting

Ensemble Integration: a customizable pipeline for generating multi-modal, heterogeneous ensembles

Experimenting with various implementations and methods of nested cross-validation in R and Python

Python package customizing nested cross validation for tabular data.

Nested Cross-Validation for Bayesian Optimized Linear Regularization

A Knn algorithm used for train a model and prediction

Using scikit-learn RandomizedSearchCV and cross_val_score for ML Nested Cross Validation

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.

❤️ 🩸 Blood test classifier for infected COVID-19 patients using xgb, catboost, rf and lr

Hormone Therapy Decision Support System for Breast Cancer

Many Objective Feature Selection for Intrusion Detection Systems

Routines to perform cross-validation and nested cross-validation using data transformations

To utilize the Breast Cancer Wisconsin Dataset for machine learning purposes. The aim is to diagnose breast cancer by employing a supervised binary, distance-based classifier (K Nearest Neighbours), which will classify cases as either benign or malignant.

Nested cross-validation implementation for the binary classification of healthy vs. diabetic patients.

Drug discovery with ML and DL approach

Comprehensive Object-Oriented Programming Python implementation of a machine learning pipeline for diabetes prediction, featuring nested cross-validation, Bayesian hyperparameter optimization, and robust preprocessing for accurate and reliable outcomes.