{"id":24908932,"url":"https://github.com/aryansingla45/ml-pipelines-studentmodel","last_synced_at":"2026-04-13T20:02:26.642Z","repository":{"id":248066382,"uuid":"804521544","full_name":"aryansingla45/ML-Pipelines-StudentModel","owner":"aryansingla45","description":"This project implements different pipelines for different machine learning steps like data ingestion , data transformation , model training and predicting data using model. Also it uses a Flask app to host it on the local machine to predict the values.","archived":false,"fork":false,"pushed_at":"2024-07-12T06:18:05.000Z","size":1099,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-28T00:46:21.877Z","etag":null,"topics":["aws","continous-integration","continuous-deployment","flask","machine-learning","pipeline","python"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc0-1.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/aryansingla45.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":"2024-05-22T18:39:55.000Z","updated_at":"2025-01-05T19:15:57.000Z","dependencies_parsed_at":"2024-07-12T07:02:11.189Z","dependency_job_id":"2fdb16d4-9250-4994-a2de-d6e29778a832","html_url":"https://github.com/aryansingla45/ML-Pipelines-StudentModel","commit_stats":null,"previous_names":["aryansingla45/ml-pipelines-studentmodel"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/aryansingla45/ML-Pipelines-StudentModel","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aryansingla45%2FML-Pipelines-StudentModel","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aryansingla45%2FML-Pipelines-StudentModel/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aryansingla45%2FML-Pipelines-StudentModel/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aryansingla45%2FML-Pipelines-StudentModel/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aryansingla45","download_url":"https://codeload.github.com/aryansingla45/ML-Pipelines-StudentModel/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aryansingla45%2FML-Pipelines-StudentModel/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31768649,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-13T15:25:13.801Z","status":"ssl_error","status_checked_at":"2026-04-13T15:25:09.162Z","response_time":93,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["aws","continous-integration","continuous-deployment","flask","machine-learning","pipeline","python"],"created_at":"2025-02-02T02:34:40.069Z","updated_at":"2026-04-13T20:02:26.628Z","avatar_url":"https://github.com/aryansingla45.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![Build App](https://github.com/aryansingla45/ML-Pipelines-StudentModel/actions/workflows/main.yml/badge.svg)](https://github.com/aryansingla45/ML-Pipelines-StudentModel/actions/workflows/main.yml)\n\n# ML-Pipelines-StudentModel\n\nThis project is used for hosting a web app using flask to predict a student math score using different details.\nThe project also has different pipelines for data ingestion, transformation, model training and predicting which help in seamless predicting the data.\n\n### Running the project \n1. Setting up the Virtual Environment\n To run these commands first set a virtual environment so there is no environment related errors.\n```conda create -p venv```\n```conda activate venv/```\n\n2. Install all the dependencies and requirements:\n   Run this command to install all the requirements that are used in this code.\n   ```pip install -r requirements.txt```\n\n3. Data Ingestion :\n    ```python src/components/data_ingestion.py```\n4. Data Transformation:\n  `python src/components/data_transformation.py`\n5. Model Training:\n     `python src/components/model_training.py`\n   If you want to run all the pipelines together then run the data ingestion pipeline if not then you can edit the code and comment it out.\n\n6. Running the Flask App\n   `python app.py`\n\n7. Running the Streamlit App\n   `streamlit run application.py`\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faryansingla45%2Fml-pipelines-studentmodel","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faryansingla45%2Fml-pipelines-studentmodel","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faryansingla45%2Fml-pipelines-studentmodel/lists"}