{"id":22332554,"url":"https://github.com/theoddysey/student-perfomance-model","last_synced_at":"2026-05-02T13:34:47.341Z","repository":{"id":207977229,"uuid":"719281282","full_name":"TheODDYSEY/Student-Perfomance-Model","owner":"TheODDYSEY","description":"A machine learning model for student enrollments ","archived":false,"fork":false,"pushed_at":"2023-11-18T18:37:08.000Z","size":295,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-26T07:23:22.702Z","etag":null,"topics":["data-science","data-visualization","jupyter-notebook","machine-learning","python"],"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/TheODDYSEY.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}},"created_at":"2023-11-15T20:51:50.000Z","updated_at":"2023-11-29T08:41:51.000Z","dependencies_parsed_at":"2023-11-18T21:24:46.298Z","dependency_job_id":"99b2713c-ece2-46e1-ba80-b223fe18476c","html_url":"https://github.com/TheODDYSEY/Student-Perfomance-Model","commit_stats":null,"previous_names":["theoddysey/student-perfomance-model"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/TheODDYSEY/Student-Perfomance-Model","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TheODDYSEY%2FStudent-Perfomance-Model","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TheODDYSEY%2FStudent-Perfomance-Model/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TheODDYSEY%2FStudent-Perfomance-Model/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TheODDYSEY%2FStudent-Perfomance-Model/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/TheODDYSEY","download_url":"https://codeload.github.com/TheODDYSEY/Student-Perfomance-Model/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TheODDYSEY%2FStudent-Perfomance-Model/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32536579,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-02T12:25:33.646Z","status":"ssl_error","status_checked_at":"2026-05-02T12:24:51.733Z","response_time":132,"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":["data-science","data-visualization","jupyter-notebook","machine-learning","python"],"created_at":"2024-12-04T04:18:41.947Z","updated_at":"2026-05-02T13:34:47.322Z","avatar_url":"https://github.com/TheODDYSEY.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Student Enrollment and Graduation Prediction\n\n## Overview\n\nThis project aims to predict student enrollment and graduation success based on historical student enrollment data, academic records, and demographic data..\n\n## Table of Contents\n\n- [Overview](#overview)\n- [Setup](#setup)\n- [Prerequisites](#prerequisites)\n- [Installation](#installation)\n- [Usage](#usage)\n- [Running the Code](#running-the-code)\n- [Code Structure](#code-structure)\n- [Data](#data)\n- [Model Evaluation](#model-evaluation)\n- [Visualizations](#visualizations)\n- [Saved Model](#saved-model)\n\n\n## Setup\n\n### Prerequisites\n\nEnsure you have the following software installed:\n\n- Python (\u003e=3.6)\n- Pandas\n- Scikit-learn\n- Matplotlib\n- Seaborn\n- Joblib\n\n### Installation\n\nInstall the required dependencies using the following command:\n\n```bash\npip install pandas scikit-learn matplotlib seaborn joblib\n```\n\n## Usage\n\n### Running the Code\n\n1. Clone the repository:\n\n```bash\ngit clone https://github.com/TheODDYSEY/Student-Perfomance-Model\ncd Student-Performance-Model\n```\n\n2. Run the Python script:\n\n```bash\npython model_code.py\n```\n\n## Code Structure\n\n- `model_code.py`: The main script containing the machine learning model training, evaluation, and visualization code.\n- `enrollment_model.pkl`: The serialized RandomForestClassifier model saved for future use.\n- `graduation_model.pkl` :The serialized model for future use\n\n## Data\n\nThe sample data used for model training is provided in the script as a hardcoded string. For real-world scenarios, replace this data with your dataset in CSV or Excel format.\n\n## Model Evaluation\n\nThe script outputs the following:\n\n- Confusion matrix\n- Classification report\n\n## Visualizations\n\nThe script generates visualizations:\n\n- Confusion matrix heatmap\n\n\n## Saved Model\n\nThe trained model is saved as `enrollment_model.pkl` and `graduation_model.pkl` for future use.\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftheoddysey%2Fstudent-perfomance-model","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftheoddysey%2Fstudent-perfomance-model","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftheoddysey%2Fstudent-perfomance-model/lists"}