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

A Knn algorithm used for train a model and prediction

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

Nested Cross-Validation for Bayesian Optimized Linear Regularization

Implementation of (Kernel) Ridge Regression predictors from scratch on Kaggle's Spotify Tracks Dataset.

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

Python package customizing nested cross validation for tabular data.

Python implementation of a nested cross-validation pipeline compatible with scikit-learn API.

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

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

Hormone Therapy Decision Support System for Breast Cancer

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.

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.

Detecting anomalies (spams) by fitting several models