NPROS: A Not So Pure Random Orthogonal Search Algorithm –A Suite of Random Optimization Algorithms Driven by Reinforcement Learning

Automated hyper-parameter tuning for scikit-learn estimators using optuna.

Credit Score Prediction is a machine learning project that classifies credit scores ('Good', 'Standard', 'Poor') using a streamlined pipeline. It involves data extraction, cleaning, and preprocessing, with key techniques like Mutual Information for feature selection, PCA for dimensionality reduction, and XGBoost for efficient and accurate model tr

DEPTs: Parameter tuning for software fault prediction with different variants of differential evolution *** Parameter tuners for software analytics problems ***

Solving The Travelling salesman problem using some Random Search Algorithms

an AntennaCAT compatable sweep optimizer