{"id":17880734,"url":"https://github.com/gibbok/ai-learning","last_synced_at":"2026-05-09T09:55:58.275Z","repository":{"id":239994038,"uuid":"735676503","full_name":"gibbok/ai-learning","owner":"gibbok","description":"This repository hosts multiple python projects focused on AI learning.","archived":false,"fork":false,"pushed_at":"2024-05-16T05:40:41.000Z","size":52820,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-08T15:36:02.649Z","etag":null,"topics":["ai","learning","machine-learning","sklearn","tensorflow","tutorial-exercises"],"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/gibbok.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":"2023-12-25T19:30:59.000Z","updated_at":"2024-10-28T14:32:53.000Z","dependencies_parsed_at":"2024-05-16T07:28:42.836Z","dependency_job_id":null,"html_url":"https://github.com/gibbok/ai-learning","commit_stats":null,"previous_names":["gibbok/ai-learning"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gibbok%2Fai-learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gibbok%2Fai-learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gibbok%2Fai-learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gibbok%2Fai-learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/gibbok","download_url":"https://codeload.github.com/gibbok/ai-learning/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246918327,"owners_count":20854790,"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","learning","machine-learning","sklearn","tensorflow","tutorial-exercises"],"created_at":"2024-10-28T12:28:01.687Z","updated_at":"2026-05-09T09:55:53.250Z","avatar_url":"https://github.com/gibbok.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AI Learning\n\nThis repository hosts multiple `python` projects focused on AI learning.\n\nAll code examples are well-commented, making them suitable for use as self-tutorials.\n\n## Project 1\n\nPrediction using linear regression using `sklearn` and visualization using `matplotlib` and `seaborn`.\n\n[Visit](./experiments/project1/README.md)\n\n## Project 2\n\nExpenditure prediction using linear regression with `sklearn` and `matplotlib`.\n\n[Visit](./experiments/project2/README.md)\n\n## Project 3\n\nSentiment analysis using `sklearn` and `pandas`, visualization using `matplotlib`.\n\n[Visit](./experiments/project3/README.md)\n\n## Project 4\n\nData analysis with network diagrams using `networkx`, `pandas`, and `matplotlib`.\n\n[Visit](./experiments/project4/README.md)\n\n## Project 5\n\nAnalyze frequency and decision tree classification using `sklearn`, `matplotlib`, `pandas`, and `seaborn`.\n\n[Visit](./experiments/project5/README.md)\n\n## Project 6\n\nImage classification with neural network using `tensorflow`, `matplotlib`, and `numpy`, enhanced with image augmentation techniques.\n\n[Visit](./experiments/project6/README.md)\n\n## Project 7\n\nImage classification using pre-trained ResNet50 model trained on ImageNet data using `keras`.\n\n[Visit](./experiments/project7/README.md)\n\n### Developer Tools\n\nTo run the project:\n\n```shell\ncd experiments\npoetry shell\ncd ../\nmake p1\n```\n\nUse the `make` command to run each project. For instance, project 2 is `make p2`, and project 3 is `make p3`.\n\nOr using Jupyter Notebook:\n\n```shell\ncd experiments/project1\njupyter notebook\n```\n\nOr open Visual Studio Code with the root folder, and press `F5` to start debugging.\n\nTo add a dependency with Poetry:\n\n```shell\ncd experiments\npoetry add YOUR_DEPENDENCY\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgibbok%2Fai-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgibbok%2Fai-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgibbok%2Fai-learning/lists"}