Code repository for the online course Hyperparameter Optimization for Machine Learning
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Sep 24, 2024 - Jupyter Notebook
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scikit-optimize
Here are 11 public repositories matching this topic...
🎯 📈 Sequential and Model-Based Optimization in Python, featuring SCE-UA, SMBO, and SHGO algorithms. No deps — SOTA perfomance.
machine-learning scikit-learn optimize scientific-computing hyperparameter-optimization bayesopt global-optimization optimization-tools bayesian-optimization hyperparameter-tuning optimization-algorithms global-optimization-algorithms partial-dependence-plot hyperparameter-search hydrological-modelling blackbox-optimization surrogate-based-optimization scikit-optimize sce-ua scipy-optimize
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Jul 10, 2025 - Python
Jupyter Notebook Templates for quick prototyping of machine learning solutions
python scikit-learn hyperparameter-optimization jupyter-notebooks lux pandas-profiling imbalanced-learning shapley scikit-optimize pycaret
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Sep 22, 2021 - Jupyter Notebook
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.
python engineering data-science simulation scikit-learn data-visualization f1 bayesian-optimization formula-1 scikit-optimize streamlit
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Sep 15, 2025 - Python
codes related to hyperparameter tuning and some classes, functions, etc. I have created to optmize classification problems (Continuously being updated ).
machine-learning feature-selection hyperparameter-optimization hyperopt regression-models random-search classification-model grid-search-hyperparameters optuna scikit-optimize
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Aug 23, 2021 - Jupyter Notebook
Basics exploration with different kernel, surrogate model & acquistion function
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Jun 14, 2025 - Jupyter Notebook
This is trendline equation script!
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May 2, 2021 - Python
Bayesian Methods with ACE
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Nov 18, 2021 - Hy
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.
python finance data-science quantitative-finance algorithmic-trading bayesian-optimization cointegration automated-trading backtesting mean-reversion etf-trading trading-strategy scikit-optimize johansen-test basket-trading
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Jan 25, 2026 - Jupyter Notebook
ML classification project.
python scikit-learn ml hyperparameters tuning classification machinelearning feature-engineering tuning-parameters scikit-optimize
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Jul 20, 2023 - Jupyter Notebook
Web App for training Random Forest model on any table conveniently.
javascript css html flask random-forest numpy scikit-learn intel pandas seaborn webapp scikit-optimize
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Oct 31, 2024 - Python
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