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.
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
Nested cross-validation implementation for the binary classification of healthy vs. diabetic patients.
Many Objective Feature Selection for Intrusion Detection Systems
Routines to perform cross-validation and nested cross-validation using data transformations
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.
ML-models, Prediction, Onset of Diabetes, PIMA Indian Dataset, Baseline-model
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.
Drug discovery with ML and DL approach
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