{"id":20472944,"url":"https://github.com/adityajn105/al-algos-from-scratch","last_synced_at":"2025-04-13T11:27:58.610Z","repository":{"id":141263823,"uuid":"195660326","full_name":"adityajn105/Al-Algos-from-Scratch","owner":"adityajn105","description":"Some basic AI/ML/DL algorithms implemented from scratch for understanding purposes.","archived":false,"fork":false,"pushed_at":"2020-10-12T09:55:38.000Z","size":979,"stargazers_count":14,"open_issues_count":0,"forks_count":2,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-03-27T02:39:20.048Z","etag":null,"topics":["ai-algorithm","al-algos","algorithms-implemented","gradient-descent","hacktoberfest","machine-learning-algorithms","python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/adityajn105.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":"Support Vector Machines/Readme.md","governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-07-07T14:23:24.000Z","updated_at":"2025-01-17T07:18:02.000Z","dependencies_parsed_at":null,"dependency_job_id":"71253266-2aae-428f-b9bc-1bfebf6d5f19","html_url":"https://github.com/adityajn105/Al-Algos-from-Scratch","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adityajn105%2FAl-Algos-from-Scratch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adityajn105%2FAl-Algos-from-Scratch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adityajn105%2FAl-Algos-from-Scratch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adityajn105%2FAl-Algos-from-Scratch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/adityajn105","download_url":"https://codeload.github.com/adityajn105/Al-Algos-from-Scratch/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248705098,"owners_count":21148479,"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-algorithm","al-algos","algorithms-implemented","gradient-descent","hacktoberfest","machine-learning-algorithms","python"],"created_at":"2024-11-15T14:22:44.878Z","updated_at":"2025-04-13T11:27:58.598Z","avatar_url":"https://github.com/adityajn105.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Al-Algos-from-Scratch\nSome basic AI/ML/DL algorithms implemented from scratch for understanding purposes. Here I will be using only numpy and some basic libraries only.\n\n\n### Algorithms implemented:\n1. [Basic Deep Neural Network using Gradient Descent for Backpropogation](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/Basic%20Deep%20Neural%20Network/Basic%20NN.ipynb)\n2. [Linear Regression](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/Linear%20Regression/Linear%20Regression.ipynb)\n3. [Logistic Regression](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/Logistic%20Regression/Logistic%20Regression.ipynb)\n4. [Logistic Regression using Gradient Descent](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/SGD%20Classifier/Logistic%20Regression%20(SGD).ipynb)\n5. [Linear Regression using Gradient Descent](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/SGD%20Regression/Linear%20Regression%20(SGD).ipynb)\n6. [Decision Tree Classifier](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/Decision%20Tree%20Classifier/Decision%20Tree%20Classifier.ipynb)\n7. [Decision Tree Regressor](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/Decision%20Tree%20Regressor/Decision%20Tree%20Regressor.ipynb)\n8. [Support Vector Machines](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/Support%20Vector%20Machines/SVM%2BKernel%2BRBF%20-%20Mathematics.ipynb)\n9. [Naive Bayes](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/NaiveBayes/NaiveBayes.ipynb)\n10. [K-Nearest Neighbors Classifier/Regressor](https://github.com/adityajn105/Al-Algos-from-Scratch/tree/master/K-Nearest%20Neighbour)\n11. [K-means](https://github.com/adityajn105/Al-Algos-from-Scratch/tree/master/K-Means%20Clustering/Kmeans.ipynb)\n12. [Agglomerative Hierachical Clustering](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/Agglomerative%20Clustering/Agglomerative%20Hierarchical%20Clustering.ipynb)\n13. [Random Forest Classifier/Regressor](https://github.com/adityajn105/Al-Algos-from-Scratch/tree/master/Random%20Forest)\n14. [Density based spatial clustering for application with Noise](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/DBSCAN%20Clustering/DBSCAN.ipynb)\n15. [Gradient Boosting Classifier/Regressor](https://github.com/adityajn105/Al-Algos-from-Scratch/tree/master/Gradient%20Boosting)\n16. [Meanshift Clustering](https://github.com/adityajn105/Al-Algos-from-Scratch/blob/master/MeanShift/MeanShift.ipynb)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadityajn105%2Fal-algos-from-scratch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fadityajn105%2Fal-algos-from-scratch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadityajn105%2Fal-algos-from-scratch/lists"}