Code repository for the online course Hyperparameter Optimization for Machine Learning
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Updated
Sep 24, 2024 - Jupyter Notebook
Code repository for the online course Hyperparameter Optimization for Machine Learning
🎯 📈 Sequential and Model-Based Optimization in Python, featuring SCE-UA, SMBO, and SHGO algorithms. SOTA perfomance; 0 deps.
Jupyter Notebook Templates for quick prototyping of machine learning solutions
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.
codes related to hyperparameter tuning and some classes, functions, etc. I have created to optmize classification problems (Continuously being updated ).
Basics exploration with different kernel, surrogate model & acquistion function
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.
This is trendline equation script!
Bayesian Methods with ACE
ML classification project.
Web App for training Random Forest model on any table conveniently.
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