{"id":26647411,"url":"https://github.com/edaaydinea/csmm101x-artificial-intelligence","last_synced_at":"2025-04-11T02:34:34.867Z","repository":{"id":49604884,"uuid":"321158673","full_name":"edaaydinea/CSMM101X-Artificial-Intelligence","owner":"edaaydinea","description":"This repository includes the projects of the CSMM101X - Artificial Intelligence course offered by Columbia University.","archived":false,"fork":false,"pushed_at":"2022-11-06T21:58:20.000Z","size":111,"stargazers_count":5,"open_issues_count":0,"forks_count":2,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-24T23:51:58.671Z","etag":null,"topics":["adversarial-machine-learning","artificial-intelligence","columbia-university","constraint-satisfaction-problem","machine-learning","natural-language-processing","search-algorithms"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/edaaydinea.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}},"created_at":"2020-12-13T20:57:32.000Z","updated_at":"2024-06-30T13:37:59.000Z","dependencies_parsed_at":"2023-01-22T09:45:49.041Z","dependency_job_id":null,"html_url":"https://github.com/edaaydinea/CSMM101X-Artificial-Intelligence","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/edaaydinea%2FCSMM101X-Artificial-Intelligence","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/edaaydinea%2FCSMM101X-Artificial-Intelligence/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/edaaydinea%2FCSMM101X-Artificial-Intelligence/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/edaaydinea%2FCSMM101X-Artificial-Intelligence/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/edaaydinea","download_url":"https://codeload.github.com/edaaydinea/CSMM101X-Artificial-Intelligence/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248329997,"owners_count":21085630,"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":["adversarial-machine-learning","artificial-intelligence","columbia-university","constraint-satisfaction-problem","machine-learning","natural-language-processing","search-algorithms"],"created_at":"2025-03-24T23:52:04.556Z","updated_at":"2025-04-11T02:34:34.842Z","avatar_url":"https://github.com/edaaydinea.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# CSMM101X - Artificial Intelligence\n This repository is included my python projects which I studied in Artificial Intelligence for MicroMaster at Columbia University.\n \n Project Explanation of Artificial Intelligence Course\n\n1. Week 2 Project - Search Algorithms \n   - This project relates to creating an agent to solve the 8-puzzle game.\n   \n2. Week 4 Project - Adversarial Search and Games \n   - This project relates to creating an agent to intelligantly play the 2048-puzzle game.\n\n3. Week 7 Projects\n   - (1) Perceptron Learning Algorithm \n      - This project relates to implementing the PLA for linearly separable dataset.\n   - (2) Linear Regression\n      - This project relates to working on the linear regression with multiple features using gradient descent.\n   - (3) Classification \n      - This project relates to working on the support vector classifiers to learn a classification model for a chessboard\n         \n4. Week 9 Project - Constraint Satisfaction Problems\n    - This project relates to implementing the AC-3 Aand backtracking algorithms to solve Sudoku puzzles.\n\n5. Week 11 Project - NLP\n    - This project relates to training a stochastic gradient descent classifier. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fedaaydinea%2Fcsmm101x-artificial-intelligence","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fedaaydinea%2Fcsmm101x-artificial-intelligence","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fedaaydinea%2Fcsmm101x-artificial-intelligence/lists"}