{"id":23085288,"url":"https://github.com/thecoderpinar/mohs-hardness-ensemble-prediction","last_synced_at":"2025-04-03T15:24:45.026Z","repository":{"id":208237461,"uuid":"721144514","full_name":"ThecoderPinar/mohs-hardness-ensemble-prediction","owner":"ThecoderPinar","description":"Mohs Hardness Prediction Project | Ensemble Models with Neural Networks, LGBM, CAT, XGB using a Voting Mechanism. 🚀💎","archived":false,"fork":false,"pushed_at":"2024-02-03T21:39:21.000Z","size":14875,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-09T04:16:12.117Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/ThecoderPinar.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":"2023-11-20T12:55:43.000Z","updated_at":"2024-08-11T11:38:23.000Z","dependencies_parsed_at":"2024-12-16T17:52:34.838Z","dependency_job_id":"103493db-8042-41e1-80f2-24b6888580b2","html_url":"https://github.com/ThecoderPinar/mohs-hardness-ensemble-prediction","commit_stats":null,"previous_names":["thecoderpinar/mohs-hardness-ensemble-prediction"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ThecoderPinar%2Fmohs-hardness-ensemble-prediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ThecoderPinar%2Fmohs-hardness-ensemble-prediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ThecoderPinar%2Fmohs-hardness-ensemble-prediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ThecoderPinar%2Fmohs-hardness-ensemble-prediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ThecoderPinar","download_url":"https://codeload.github.com/ThecoderPinar/mohs-hardness-ensemble-prediction/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247025627,"owners_count":20871225,"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":[],"created_at":"2024-12-16T17:52:28.368Z","updated_at":"2025-04-03T15:24:44.999Z","avatar_url":"https://github.com/ThecoderPinar.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Mohs Hardness Ensemble Prediction\n\n\u003e A collaborative project utilizing ensemble models for predicting Mohs hardness. 🚀💎\n\n---\n\n## Table of Contents\n\n- [Description](#description)\n- [Models](#models)\n- [Installation](#installation)\n- [Usage](#usage)\n- [Contributing](#contributing)\n- [License](#license)\n\n---\n\n## Description\n\nThis project focuses on predicting Mohs hardness using a combination of various machine learning models. The ensemble includes Neural Networks, LGBM, CAT, and XGB, all working together through a Voting Mechanism. The goal is to create a robust and accurate prediction system for Mohs hardness.\n\n---\n\n## Models\n\n- Neural Networks\n- LightGBM (LGBM)\n- CatBoost (CAT)\n- XGBoost (XGB)\n\n---\n\n## Installation\n\n```bash\n# Clone the repository\ngit clone https://github.com/ThecoderPinar/mohs-hardness-ensemble-prediction.git\n\n# Navigate to the project directory\ncd mohs-hardness-ensemble-prediction\n\n# Install dependencies\npip install -r requirements.txt\n\n# Usage\nTo run the prediction models, follow these steps:\n\n- Open the Jupyter Notebook or Python script.\n- Run the cells or execute the script.\n- Input the relevant features for prediction.\n- Obtain the predicted Mohs hardness.\n\n# Contributing\n- Fork the project (https://github.com/ThecoderPinar/mohs-hardness-ensemble-prediction/fork)\n- Create your feature branch (git checkout -b feature/AmazingFeature)\n- Commit your changes (git commit -am 'Add some AmazingFeature')\n- Push to the branch (git push origin feature/AmazingFeature)\nOpen a pull request\n\n# License\nDistributed under the MIT License. See LICENSE for more information.\n\n# Contact\nPinar Topuz - piinartp@gmail.com\n\nProject Link: https://github.com/ThecoderPinar/mohs-hardness-ensemble-prediction \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthecoderpinar%2Fmohs-hardness-ensemble-prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fthecoderpinar%2Fmohs-hardness-ensemble-prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthecoderpinar%2Fmohs-hardness-ensemble-prediction/lists"}