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 with SCE-UA, SMBO, and SHGO for fast convergence
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 ).
Bayesian Methods with ACE
This is trendline equation script!
ML classification project.
Web App for training Random Forest model on any table conveniently.
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.
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