Review the topics from Computer Science field.
Flexible Bayesian Optimization in R
Linear regression with linear features
Hyperparameters-Optimization
A scikit-learn compatible hyperparameter search that progressively eliminates low-scoring values — fewer fits, same best params.
A small library for managing deep learning models, hyperparameters and datasets
Music recommendation project using unsupervised machine learning and similarity-based analysis.
treebasedmodel 🌲
Hyper-Parameter Analyzer
This notebook demonstrates an end-to-end, reproducible ML workflow with business-oriented communication: clear EDA, rigorous CV & hyperparameter tuning, interpretable feature importances, visual diagnostics, and an exported pipeline ready for production validation.
A portable configuration tool to manage hyperparameters and settings of your experiments.
This is kaggle competion. For creating this ML classification models and other preprocessing techniques use
Mini Project for Implementasi Decision Tree dengan CART
Automatically create a config of hyper-parameters from global variables
Sequential model-based optimization with a `scipy.optimize` interface
Study projects developed during data science courses
A dl management front end
Tools for Optuna, MLflow and the integration of both.
Hyper-parameter tuner (for computer vision and reinforcement learning)
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