{"id":26304688,"url":"https://github.com/omr-ql/machine-learning-algorithms","last_synced_at":"2025-06-25T22:05:53.203Z","repository":{"id":236347705,"uuid":"765258061","full_name":"omr-ql/Machine-Learning-Algorithms","owner":"omr-ql","description":"This is my machine learning algorithms I have implemented so far ","archived":false,"fork":false,"pushed_at":"2025-02-16T16:27:32.000Z","size":35,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-15T08:17:55.001Z","etag":null,"topics":["ai","algorithms","machine-learning","programming","python"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/omr-ql.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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}},"created_at":"2024-02-29T15:22:14.000Z","updated_at":"2025-02-16T16:27:36.000Z","dependencies_parsed_at":"2025-02-03T16:45:20.699Z","dependency_job_id":null,"html_url":"https://github.com/omr-ql/Machine-Learning-Algorithms","commit_stats":null,"previous_names":["omr-ql/machine-learning-algorithm","omr-ql/machine-learning-algorithms"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/omr-ql/Machine-Learning-Algorithms","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omr-ql%2FMachine-Learning-Algorithms","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omr-ql%2FMachine-Learning-Algorithms/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omr-ql%2FMachine-Learning-Algorithms/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omr-ql%2FMachine-Learning-Algorithms/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/omr-ql","download_url":"https://codeload.github.com/omr-ql/Machine-Learning-Algorithms/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omr-ql%2FMachine-Learning-Algorithms/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261960503,"owners_count":23236572,"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":["ai","algorithms","machine-learning","programming","python"],"created_at":"2025-03-15T08:17:57.416Z","updated_at":"2025-06-25T22:05:53.171Z","avatar_url":"https://github.com/omr-ql.png","language":"Python","readme":"# Machine Learning\n\n## Supervised Learning Modules : \n\n- **Simple Linear Regression**\n  - A simple linear regression model to predict values based on a linear relationship between variables.\n  \n- **Support Vector Regression**\n  - A support vector machine algorithm for regression tasks, handling both linear and non-linear data.\n\n- **Decision Tree Regression**\n  - A regression model that uses a decision tree to predict outcomes by learning decision rules from features.\n\n- **Random Forest Regression**\n  - An ensemble method using multiple decision trees to improve the accuracy and robustness of predictions.\n\n- **Logistic Regression**\n  - A statistical model for binary classification tasks, estimating probabilities using a logistic function.\n\n- **K Nearest Neighbor**\n  - A non-parametric method used for classification and regression by comparing a point to its k-nearest neighbors.\n\n## Unsupervised Learning Modules : \n\n- **K-Means Clustering** \n  - it is an Algorithm used to partition data into K distinct clusters by minimizing the variance within each cluster. It assigns each data point to the \n    nearest cluster centroid and updates centroids iteratively until convergence.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fomr-ql%2Fmachine-learning-algorithms","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fomr-ql%2Fmachine-learning-algorithms","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fomr-ql%2Fmachine-learning-algorithms/lists"}