{"id":19140247,"url":"https://github.com/geraked/machine-learning","last_synced_at":"2025-07-30T23:10:34.425Z","repository":{"id":176725295,"uuid":"632397997","full_name":"geraked/machine-learning","owner":"geraked","description":"Implementation of Machine Learning Algorithms From Scratch","archived":false,"fork":false,"pushed_at":"2023-04-25T10:34:18.000Z","size":53754,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-01-03T14:50:31.489Z","etag":null,"topics":["ai","amirkabir-university","artificial-intelligence","ce5501","classification","clustering","computer-engineering","computer-science","data-science","geraked","machine-learning","machine-learning-algorithms","machine-learning-from-scratch","ml","ml-from-scratch","outlier-detection","rabist","regression"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/geraked.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"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}},"created_at":"2023-04-25T10:22:52.000Z","updated_at":"2023-09-05T11:18:30.000Z","dependencies_parsed_at":null,"dependency_job_id":"18a08258-0d9c-43b0-a62b-61f41fac96c1","html_url":"https://github.com/geraked/machine-learning","commit_stats":null,"previous_names":["geraked/machine-learning"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geraked%2Fmachine-learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geraked%2Fmachine-learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geraked%2Fmachine-learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geraked%2Fmachine-learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/geraked","download_url":"https://codeload.github.com/geraked/machine-learning/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240222505,"owners_count":19767458,"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","amirkabir-university","artificial-intelligence","ce5501","classification","clustering","computer-engineering","computer-science","data-science","geraked","machine-learning","machine-learning-algorithms","machine-learning-from-scratch","ml","ml-from-scratch","outlier-detection","rabist","regression"],"created_at":"2024-11-09T07:16:54.606Z","updated_at":"2025-02-22T19:13:03.350Z","avatar_url":"https://github.com/geraked.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning\n\nImplementation of Some of the Machine Learning (ML) Algorithms From Scratch in Python\n\n## Homework 1\n\n[Problems](hw1/problem.pdf) | [Solutions (Report)](hw1/report.pdf)\n\n-   Data Visualization ([Source code](hw1/src/P2.ipynb))\n-   Univariate Polynomial Regression using Gradient Descent and Normal Equation ([Source code](hw1/src/P3.ipynb))\n-   Multivariate Polynomial Regression, Stepwise Feature Selection (Backward Elimination), Cook's Distance and DFFITS plots from scratch. Fixing Heteroscedasticity and Multicollinearity. ([Source code](hw1/src/P4.ipynb))\n\n## Homework 2\n\n[Problems](hw2/problem.pdf) | [Solutions (Report)](hw2/report.pdf)\n\n-   Decision Tree ([Source code](hw2/src/P3.ipynb))\n-   Ensemble Learning - Bagging algorithm using Decision Tree (Random Forest) ([Source code](hw2/src/P2.ipynb))\n-   KNN using Euclidean and Cosine distance, Confusion Matrix for Multi-class Classification, Optical Recognition of Handwritten Digits ([Source code](hw2/src/P4.ipynb))\n\n## Homework 3\n\n[Problems](hw3/problem.pdf) | [Solutions (Report)](hw3/report.pdf)\n\n-   Implementation of Naive Bayes Algorithm for Spam Email Detection ([Source code](hw3/src/P3.ipynb))\n\n## Homework 4\n\n[Problems](hw4/problem.pdf) | [Solutions (Report)](hw4/report.pdf)\n\n-   Custom kernels for Support Vector Machine (SVM) ([Source code](hw4/src/P2.ipynb))\n\n## Homework 5\n\n[Problems](hw5/problem.pdf) | [Solutions (Report)](hw5/report.pdf)\n\n-   K-means clustering, Outlier detection ([Source code](hw5/src/P2.ipynb))\n-   DBSCAN, Evaluation Metrics (Accuracy, Entropy, Purity) ([Source code](hw5/src/P3.ipynb))\n-   Q-learning through Epsilon-Greedy Algorithm ([Source code](hw5/src/P4.ipynb))\n\n## Final Project\n\n[Problems](final-project/problem.pdf) | [Solutions (Report)](final-project/report.pdf)\n\n-   Multi-output Regression ([Source code](final-project/src/P1.ipynb))\n-   Skin Detection ([Source code](final-project/src/P2.ipynb))\n-   Credit Approval ([Source code](final-project/src/P3.ipynb))\n\n## Author\n\n**Rabist** - view on [LinkedIn](https://www.linkedin.com/in/rabist)\n\n## Details\n\n-   **Course:** Machine Learning (CE5501) - MS\n-   **Teacher:** [Dr. Ehsan Nazerfard](https://aut.ac.ir/cv/2384/EHSAN-NAZERFARD?slc_lang=en)\n-   **Univ:** Amirkabir University of Technology\n-   **Semester:** Fall 2022\n\n## License\n\nLicensed under [MIT](LICENSE).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgeraked%2Fmachine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgeraked%2Fmachine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgeraked%2Fmachine-learning/lists"}