{"id":14977137,"url":"https://github.com/mariona-ft/data-mining-mida","last_synced_at":"2026-01-20T20:34:01.107Z","repository":{"id":209439611,"uuid":"724067240","full_name":"Mariona-FT/Data-Mining-MIDA","owner":"Mariona-FT","description":"MINERIA DE DADES Curs 2023-24 EPSEVG","archived":false,"fork":false,"pushed_at":"2024-04-13T11:04:39.000Z","size":74855,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-11-13T01:04:20.274Z","etag":null,"topics":["data-mining","data-science","data-visualization","datascience","epsevg","ipython-notebook","prediccion-de-datos","prediction","prediction-model","predictive-modeling","universitat-politecnica-catalunya","university-project","upc"],"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/Mariona-FT.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":"2023-11-27T10:29:06.000Z","updated_at":"2024-09-30T07:10:03.000Z","dependencies_parsed_at":"2024-09-11T12:41:54.134Z","dependency_job_id":null,"html_url":"https://github.com/Mariona-FT/Data-Mining-MIDA","commit_stats":{"total_commits":32,"total_committers":1,"mean_commits":32.0,"dds":0.0,"last_synced_commit":"77feaa6724aba55ac68c5f6792c4c1b362cac644"},"previous_names":["mariona-ft/mida","mariona-ft/data-mining-mida"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mariona-FT%2FData-Mining-MIDA","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mariona-FT%2FData-Mining-MIDA/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mariona-FT%2FData-Mining-MIDA/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mariona-FT%2FData-Mining-MIDA/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Mariona-FT","download_url":"https://codeload.github.com/Mariona-FT/Data-Mining-MIDA/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":224370100,"owners_count":17299969,"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":["data-mining","data-science","data-visualization","datascience","epsevg","ipython-notebook","prediccion-de-datos","prediction","prediction-model","predictive-modeling","universitat-politecnica-catalunya","university-project","upc"],"created_at":"2024-09-24T13:55:10.821Z","updated_at":"2026-01-20T20:34:01.068Z","avatar_url":"https://github.com/Mariona-FT.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Data Mining: MIDA\n MINERIA DE DADES Curs 2023-24 EPSEVG\n\nEn aquest repositori, trobareu tots els fitxers necessaris utilitzats i creats per l'assignatura de Mineria de dades al Curs 2023-24 a la Universitat UPC a EPSEVG.\n\n## Fitxers\nA continuació, es detallen els fitxers i projectes penjats en aquest repositori:\n\n### Apunts Mineria de Dades:\nEls apunts de MIDA proporcionen un conjunt de materials de referència que cobreixen els conceptes, tècniques i mètodes clau de la mineria de dades. Aquests apunts estan disponibles en format PDF i DOCX.\n- Apunts .pdf:  [Apunts MIDA.pdf ](https://github.com/Mariona-FT/Data-Mining-MIDA/blob/main/Apunts%20Mineria%20de%20dades.pdf)\n- Apunts .docx: [Apunts MIDA.docx](https://github.com/Mariona-FT/Data-Mining-MIDA/blob/main/Apunts%20Mineria%20de%20dades.docx) \n\n### Projecte Final: Predicció de l'èxit o l'abandonament acadèmic dels estudiants\nAquest projecte explica la predicció de l'èxit o l'abandonament acadèmic dels estudiants mitjançant l'anàlisi de dades i l'aplicació d'algoritmes predictius. Els materials proporcionats inclouen els informes, la presentació, els scripts de codi font i les dades utilitzades en el projecte.\n- Carpeta general: [projecte_Prediccio_Exit_Academic](https://github.com/Mariona-FT/Data-Mining-MIDA/tree/main/projecte_Prediccio_Exit_Academic)\n- Informe Final: [Predicció de l'èxit o abandonament acadèmic dels estudiants](https://github.com/Mariona-FT/Data-Mining-MIDA/blob/main/projecte_Prediccio_Exit_Academic/Predicci%C3%B3%20l%E2%80%99%C3%A8xit%20abandonament%20acad%C3%A8mic%20estudiants.pdf)\n- Presentació Final: [Presentacio-Predicció de l'èxit o abandonament acadèmic dels estudiants](https://github.com/Mariona-FT/Data-Mining-MIDA/blob/main/projecte_Prediccio_Exit_Academic/Presentacio_Predicci%C3%B3%20de%20l%E2%80%99%C3%A8xit%20o%20abandonament%20acad%C3%A8mic%20dels%20estudiants_Mariona_Farr%C3%A9.pdf)\n- Scripts de l'activitat:\n  -  [prediccio_exit_academic.ipynb](https://github.com/Mariona-FT/Data-Mining-MIDA/blob/main/projecte_Prediccio_Exit_Academic/prediccio_exit_academic.ipynb) - Jupyter Notebook \n  -  [prediccio_exit_academic.py](https://github.com/Mariona-FT/Data-Mining-MIDA/blob/main/projecte_Prediccio_Exit_Academic/prediccio_exit_academic.py) - Python\n- Dades: [predicció academic ](https://github.com/Mariona-FT/Data-Mining-MIDA/blob/main/projecte_Prediccio_Exit_Academic/data.csv)\n\n    Extretes de la web: [archive.ics](https://archive.ics.uci.edu/) sota el nom [Predict Students' Dropout and Academic Success ](https://archive.ics.uci.edu/dataset/697/predict+students+dropout+and+academic+success)\n\n\n### Quiz del curs:\nAqui estan els resultats relacionats amb els qüestionaris de l'assignatura. \n- Carpeta general: [quiz_curs](https://github.com/Mariona-FT/Data-Mining-MIDA/tree/main/quiz_curs)\n-  Respostes quiz 1: [Quiz 1](https://github.com/Mariona-FT/Data-Mining-MIDA/blob/main/quiz_curs/Quiz%201_2023.pdf)\n-  Respostes quiz 2: [Quiz 2](https://github.com/Mariona-FT/Data-Mining-MIDA/blob/main/quiz_curs/Quiz%202_2023.pdf)\n    , [Segon set preguntes quiz 2](https://github.com/Mariona-FT/Data-Mining-MIDA/blob/main/quiz_curs/Quiz%202%20-%20ChatGPT%20answers%20about%20SVMs.pdf)\n\n### Activitat 1: Algorismes jeràrquics sobre la borsa\nAquesta activitat implica l'anàlisi de dades de moviments borsaris utilitzant algorismes jeràrquics. \n- Carpeta general: [activitat1](https://github.com/Mariona-FT/Data-Mining-MIDA/tree/main/activitat1)\n- Informe Final: [Informe_Activitat 1](https://github.com/Mariona-FT/Data-Mining-MIDA/blob/main/activitat1/Informe_Activitat%201.pdf)\n- Scripts de l'activitat:\n  -  [Activitat1. ipynb](https://github.com/Mariona-FT/Data-Mining-MIDA/blob/main/activitat1/Activitat1.ipynb) - Jupyter Notebook \n  -  [Activitat1.py](https://github.com/Mariona-FT/Data-Mining-MIDA/blob/main/activitat1/activitat1.py) - Python\n- Dades: [activitats borsa 2010-2015](https://github.com/Mariona-FT/Data-Mining-MIDA/blob/main/activitat1/company-stock-movements-2010-2015-incl.csv)\n\n\n## Autora\n\nAquest repositori ha estat creat per [Mariona Farré](https://github.com/Mariona-FT) \n\n\nGràcies per visitar aquest repositori :)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmariona-ft%2Fdata-mining-mida","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmariona-ft%2Fdata-mining-mida","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmariona-ft%2Fdata-mining-mida/lists"}