scikit-optimize

Bayesian optimization pipeline for silicon reactive ion etching. Random Forest surrogate model seeded with transfer learning from published plasma physics data, with a hardware safety envelope that keeps every proposed recipe inside cleanroom mask-integrity limits. Built at the UH Nanofabrication Facility.

Code repository for the online course Hyperparameter Optimization for Machine Learning

Weekly sales forecasting (XGBoost) as a Streamlit app that works on any dataset, with feature selection and hyperparameter tuning.

Retinal blood vessel segmentation pipeline using classical image processing techniques and Bayesian optimization for parameter tuning.

An advanced mean-reversion trading strategy for ETF baskets using Bayesian Optimization to maximize Sharpe Ratio. Features walk-forward analysis, cointegration testing, and comprehensive backtesting reports.

AI-driven design optimization of a 3D-printable anti-glugging vortex funnel. Automates the loop: parametric CadQuery geometry → OpenFOAM CFD (interFoam VOF multiphase via Docker) → multi-fidelity Bayesian optimization (scikit-optimize) — driven end-to-end by a Claude Code skill.

An interactive F1 engineering workbench built with Streamlit and Bayesian Optimization. Designed for racing fans, data scientists, and engineers to explore optimal car setups by balancing lap time, tire wear, and handling performance.

🎯 📈 Sequential and Model-Based Optimization in Python, feat. SCE-UA, SMBO & SHGO. SOTA perf; 0 deps

Basics exploration with different kernel, surrogate model & acquistion function

Web App for training Random Forest model on any table conveniently.

ML classification project.

Bayesian Methods with ACE

Jupyter Notebook Templates for quick prototyping of machine learning solutions

codes related to hyperparameter tuning and some classes, functions, etc. I have created to optmize classification problems (Continuously being updated ).

This is trendline equation script!