{"id":18603698,"url":"https://github.com/shashaaankkkkk/bharat_intern","last_synced_at":"2026-04-10T21:03:06.115Z","repository":{"id":210980755,"uuid":"727755345","full_name":"shashaaankkkkk/Bharat_intern","owner":"shashaaankkkkk","description":"Description: Collection of ML projects: House Price Prediction: Regression models for predicting house prices. Wine Quality Prediction: ML techniques to assess wine quality. Iris Flower Classification: Classifying iris flower species.","archived":false,"fork":false,"pushed_at":"2023-12-05T20:37:47.000Z","size":2766,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-18T13:29:14.921Z","etag":null,"topics":["bharat-intern","flask","linear-regression","machine-learning","python3"],"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/shashaaankkkkk.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":"2023-12-05T14:07:44.000Z","updated_at":"2023-12-05T20:33:52.000Z","dependencies_parsed_at":"2023-12-05T21:44:22.461Z","dependency_job_id":null,"html_url":"https://github.com/shashaaankkkkk/Bharat_intern","commit_stats":null,"previous_names":["shashaaankkkkk/bharat_intern"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/shashaaankkkkk/Bharat_intern","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shashaaankkkkk%2FBharat_intern","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shashaaankkkkk%2FBharat_intern/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shashaaankkkkk%2FBharat_intern/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shashaaankkkkk%2FBharat_intern/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/shashaaankkkkk","download_url":"https://codeload.github.com/shashaaankkkkk/Bharat_intern/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shashaaankkkkk%2FBharat_intern/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259901382,"owners_count":22929224,"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":["bharat-intern","flask","linear-regression","machine-learning","python3"],"created_at":"2024-11-07T02:15:09.932Z","updated_at":"2026-04-10T21:03:06.055Z","avatar_url":"https://github.com/shashaaankkkkk.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning Projects Repository\n\nWelcome to the Machine Learning Projects Repository! This repository contains a collection of machine learning projects focusing on predictive modeling and classification tasks.\n\n## Projects Included\n\n### Task-1: House Price Prediction\n- **Objective**: Predicting house prices using regression models.\n- **Contents**:\n  - Datasets for house features.\n  - Jupyter Notebooks and Python scripts for data preprocessing, model training, and price prediction.\n\n### Task-2: Wine Quality Prediction\n- **Objective**: Assessing wine quality using machine learning techniques.\n- **Contents**:\n  - Datasets related to wine attributes.\n  - Notebooks and scripts for data preprocessing, model training, and quality evaluation.\n\n### Task-3: Iris Flower Classification\n- **Objective**: Classifying iris flower species based on their characteristics.\n- **Contents**:\n  - Iris flower datasets for model training.\n  - Jupyter Notebooks and Python scripts for data exploration, preprocessing, and species classification.\n\n\n### Flask Application - Wine Quality Prediction\nTo run the Flask application for house price prediction:\n1. Navigate to the Task-2 folder.\n3. Run the Flask application using the command:\n   ```bash\n   flask --app app run\n\n\n## Usage\nFeel free to explore each project folder for detailed instructions, datasets, and code implementation specific to each machine learning task.\n\n## Contributors\n- [Shashank shekhar](https://github.com/shashaaankkkkk/) \n\n## License\nThis project is licensed under the [MIT License](link-to-license-file).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshashaaankkkkk%2Fbharat_intern","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshashaaankkkkk%2Fbharat_intern","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshashaaankkkkk%2Fbharat_intern/lists"}