{"id":23228255,"url":"https://github.com/avicenne-ctrl/kaggle-project","last_synced_at":"2025-06-28T17:34:02.854Z","repository":{"id":262127203,"uuid":"886281452","full_name":"Avicenne-ctrl/KAGGLE-PROJECT","owner":"Avicenne-ctrl","description":"Kaggle competitions in order to explore usual ML concepts (classification, regression, NLP, computer vision...)","archived":false,"fork":false,"pushed_at":"2024-11-12T14:39:21.000Z","size":120840,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-05T18:22:53.042Z","etag":null,"topics":["classification","computer-vision","kaggle-competition","kaggle-dataset","machine-learning","nlp","regression-models"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/Avicenne-ctrl.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":"2024-11-10T16:58:19.000Z","updated_at":"2024-12-01T12:38:34.000Z","dependencies_parsed_at":"2025-02-11T15:43:35.437Z","dependency_job_id":null,"html_url":"https://github.com/Avicenne-ctrl/KAGGLE-PROJECT","commit_stats":null,"previous_names":["avicenne-ctrl/kaggle-project"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Avicenne-ctrl/KAGGLE-PROJECT","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Avicenne-ctrl%2FKAGGLE-PROJECT","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Avicenne-ctrl%2FKAGGLE-PROJECT/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Avicenne-ctrl%2FKAGGLE-PROJECT/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Avicenne-ctrl%2FKAGGLE-PROJECT/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Avicenne-ctrl","download_url":"https://codeload.github.com/Avicenne-ctrl/KAGGLE-PROJECT/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Avicenne-ctrl%2FKAGGLE-PROJECT/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":262469392,"owners_count":23316314,"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":["classification","computer-vision","kaggle-competition","kaggle-dataset","machine-learning","nlp","regression-models"],"created_at":"2024-12-19T01:13:11.301Z","updated_at":"2025-06-28T17:34:02.825Z","avatar_url":"https://github.com/Avicenne-ctrl.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# **KAGGLE-PROJECT**\n\n## **Welcome to the Kaggle Project Repository**\n\nThis repository is dedicated to various Kaggle competitions and demonstrate my skills in machine learning with Python. Here, I explore key machine learning concepts, experiment with innovative and original approaches, and demonstrate my skills in tackling diverse data science challenges.\n\n### **Structure of the Repository**\n\nHere are the different thematics :  \n- Classification\n- Regression\n- Computer Vision\n- Natural Language Processing\n- And more to come\n- `utilities.py` / `utilities_plot.py` -\u003e redundant function that I've reused in various notebook\n\nEach subfolder corresponds to a different competition theme. Within these folders, you will find a dedicated `README.md` file that explains:\n- The objective of the competition\n- The unique strategies or methods I used to solve the problem\n- Insights gained and key learning points\n\nWhether you're here to learn, explore, or contribute, I hope this repository provides valuable insights into practical machine learning on Kaggle!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Favicenne-ctrl%2Fkaggle-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Favicenne-ctrl%2Fkaggle-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Favicenne-ctrl%2Fkaggle-project/lists"}