{"id":15637148,"url":"https://github.com/solegalli/hyperparameter-optimization","last_synced_at":"2025-04-06T09:08:12.050Z","repository":{"id":46886536,"uuid":"333439649","full_name":"solegalli/hyperparameter-optimization","owner":"solegalli","description":"Code repository for the online course Hyperparameter Optimization for Machine Learning","archived":false,"fork":false,"pushed_at":"2024-09-24T12:35:55.000Z","size":10905,"stargazers_count":121,"open_issues_count":0,"forks_count":188,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-27T17:17:54.407Z","etag":null,"topics":["data-science","hyperopt","hyperparameter-optimization","machine-learning","optuna","python","scikit-optimize"],"latest_commit_sha":null,"homepage":"https://www.courses.trainindata.com/p/hyperparameter-optimization-for-machine-learning","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/solegalli.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":".github/FUNDING.yml","license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null},"funding":{"github":["solegalli"]}},"created_at":"2021-01-27T14:04:05.000Z","updated_at":"2025-03-24T05:44:39.000Z","dependencies_parsed_at":"2024-01-09T14:06:46.699Z","dependency_job_id":"7d2c36c1-86fd-4c60-bb59-ddfe09e866da","html_url":"https://github.com/solegalli/hyperparameter-optimization","commit_stats":{"total_commits":26,"total_committers":3,"mean_commits":8.666666666666666,"dds":0.07692307692307687,"last_synced_commit":"3ad6a1692b2130934e967e72d7eea05a507fca02"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/solegalli%2Fhyperparameter-optimization","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/solegalli%2Fhyperparameter-optimization/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/solegalli%2Fhyperparameter-optimization/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/solegalli%2Fhyperparameter-optimization/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/solegalli","download_url":"https://codeload.github.com/solegalli/hyperparameter-optimization/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247457801,"owners_count":20941906,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-science","hyperopt","hyperparameter-optimization","machine-learning","optuna","python","scikit-optimize"],"created_at":"2024-10-03T11:10:26.935Z","updated_at":"2025-04-06T09:08:12.025Z","avatar_url":"https://github.com/solegalli.png","language":"Jupyter Notebook","readme":"![PythonVersion](https://img.shields.io/badge/python-3.6%20|3.7%20|%203.8%20|%203.9-success)\n[![License https://github.com/solegalli/hyperparameter-optimization/blob/master/LICENSE](https://img.shields.io/badge/license-BSD-success.svg)](https://github.com/solegalli/hyperparameter-optimization/blob/master/LICENSE)\n[![Sponsorship https://www.trainindata.com/](https://img.shields.io/badge/Powered%20By-TrainInData-orange.svg)](https://www.trainindata.com/)\n\n## Hyperparameter tuning for Machine Learning - Code Repository\n\n[\u003cimg src=\"./course-banner.png\"\u003e](https://www.trainindata.com/p/hyperparameter-optimization-for-machine-learning)\n\n**Launched**: May, 2021\n\n**Updated**: September, 2024\n\nActively maintained.\n\n[\u003cimg src=\"./logo.png\" width=\"248\"\u003e](https://www.trainindata.com/p/hyperparameter-optimization-for-machine-learning)\n\n## Links\n\n- [Online Course](https://www.trainindata.com/p/hyperparameter-optimization-for-machine-learning)\n\n\n## Table of Contents\n\n\n1. **Metrics**\n\t1. Classification (accuracy, precision, recall, roc-auc, etc)\n\t2. Regression (MSE, RMSE, R2, etc)\n\n2. **Cross-Validation**\n\t1. K-fold, LOOCV, LPOCV, Stratified CV\n\t2. Group CV and variants\n\t3. CV for time series\n\t4. Nested CV\n\n3. **Basic Search Algorithms**\n\t1. Manual Search \n\t2. Grid Search\n\t3. Random Search\n\n4. **Bayesian Optimization**\n\t1. with Gaussian Processes\n\t2. with Random Forests (SMAC) and GBMs\n\t3. with Parzen windows (Tree-structured Parzen Estimators or TPE)\n\t4. Simulated annealing\n\n5. **Multi-fidelity Optimization**\n\t1. Successive Halving\n\t2. Hyperband\n\n\n6. **Python tools**\n\t1. Scikit-learn\n\t2. Scikit-optimize\n\t3. Hyperopt\n\t4. Optuna\n\n\n## Links\n\n- [Online Course](https://www.trainindata.com/p/hyperparameter-optimization-for-machine-learning)\n","funding_links":["https://github.com/sponsors/solegalli"],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsolegalli%2Fhyperparameter-optimization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsolegalli%2Fhyperparameter-optimization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsolegalli%2Fhyperparameter-optimization/lists"}