{"id":20130559,"url":"https://github.com/md-emon-hasan/1-simple-stock-price-ml-app","last_synced_at":"2026-05-31T01:31:32.185Z","repository":{"id":247618198,"uuid":"746774912","full_name":"Md-Emon-Hasan/1-Simple-Stock-Price-ML-App","owner":"Md-Emon-Hasan","description":"A simple mahcine learning application for stock prices, demonstrating data preprocessing, model training, and deployment using scikit-learn.","archived":false,"fork":false,"pushed_at":"2024-08-03T11:25:21.000Z","size":14,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-01-13T08:46:20.403Z","etag":null,"topics":["data-analysis","data-science","eda","ml-app","streamlit-webapp","time-series","time-series-analysis","webapp"],"latest_commit_sha":null,"homepage":"https://one-simple-stock-price-web-apps.onrender.com","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Md-Emon-Hasan.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":"2024-01-22T16:45:09.000Z","updated_at":"2024-08-03T11:25:24.000Z","dependencies_parsed_at":"2024-07-09T19:29:44.181Z","dependency_job_id":"a38cd416-5db2-4607-9848-669297247ecc","html_url":"https://github.com/Md-Emon-Hasan/1-Simple-Stock-Price-ML-App","commit_stats":null,"previous_names":["md-emon-hasan/1-simple-stock-price-ml-app"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Md-Emon-Hasan%2F1-Simple-Stock-Price-ML-App","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Md-Emon-Hasan%2F1-Simple-Stock-Price-ML-App/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Md-Emon-Hasan%2F1-Simple-Stock-Price-ML-App/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Md-Emon-Hasan%2F1-Simple-Stock-Price-ML-App/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Md-Emon-Hasan","download_url":"https://codeload.github.com/Md-Emon-Hasan/1-Simple-Stock-Price-ML-App/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241577071,"owners_count":19984940,"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-analysis","data-science","eda","ml-app","streamlit-webapp","time-series","time-series-analysis","webapp"],"created_at":"2024-11-13T20:39:03.481Z","updated_at":"2026-05-31T01:31:32.178Z","avatar_url":"https://github.com/Md-Emon-Hasan.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning Project: Simple Stock Price Prediction App\n\nWelcome to the **Simple Stock Price Prediction App** machine learning project repository! This project focuses on predicting stock prices using machine learning techniques and providing a simple web-based application for users to interact with.\n\n![1](https://github.com/user-attachments/assets/3feed110-96d1-4f60-b5c5-4a504d383e6d)\n\n## 📋 Contents\n\n- [Introduction](#introduction)\n- [Why This Project](#why-this-project)\n- [Dataset](#dataset)\n- [Features](#features)\n- [Setup and Installation](#setup-and-installation)\n- [Demo](#demo)\n- [Contributing](#contributing)\n- [Challenges Faced](#challenges-faced)\n- [Lessons Learned](#lessons-learned)\n- [License](#license)\n- [Contact](#contact)\n\n---\n\n## 📖 Introduction\n\nThis repository contains a machine learning project focused on predicting stock prices using historical data and providing a user-friendly web application for users to obtain predictions and insights.\n\n---\n\n## 🎯 Why This Project\n\nThe primary motivation behind creating this project is to assist investors and traders in making informed decisions by predicting future stock prices based on historical trends and patterns.\n\n---\n\n## 📊 Dataset\n\nThe dataset used for this project contains historical stock prices, volume, and other relevant financial indicators. It is crucial for training and evaluating the prediction models.\n\n---\n\n## 🌟 Features\n\n- **Data Preprocessing:** Cleaning and transforming financial data for model compatibility.\n- **Deployment:** Developing a simple web-based application for users to input stock symbols and obtain predictions.\n\n---\n\n## 🚀 Setup and Installation\n\nTo run this project locally, follow these steps:\n\n1. Clone the repository:\n\n   ```bash\n   git clone https://github.com/Md-Emon-Hasan/1-Simple-Stock-Price-ML-App.git\n   ```\n\n2. Navigate to the project directory:\n\n   ```bash\n   cd 1-Simple-Stock-Price-ML-App\n   ```\n\n3. Install the required dependencies:\n\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n4. Run the web application:\n\n   ```bash\n   python app.py\n   ```\n\n5. Open your web browser and go to `http://localhost:5000` to interact with the app.\n\n---\n\n## 🌐 Demo\n\nExplore the live demo of the project [here](https://one-simple-stock-price-web-apps.onrender.com)\n\n---\n\n## 🤝 Contributing\n\nContributions to enhance or expand the project are welcome! Here's how you can contribute:\n\n1. **Fork the repository.**\n2. **Create a new branch:**\n\n   ```bash\n   git checkout -b feature/new-feature\n   ```\n\n3. **Make your changes:**\n\n   - Implement new features, improve model performance, or enhance user interface.\n\n4. **Commit your changes:**\n\n   ```bash\n   git commit -am 'Add a new feature or update'\n   ```\n\n5. **Push to the branch:**\n\n   ```bash\n   git push origin feature/new-feature\n   ```\n\n6. **Submit a pull request.**\n\n---\n\n## 🛠️ Challenges Faced\n\nDuring the development of this project, the following challenges were encountered:\n\n- Handling financial data preprocessing and feature engineering.\n- Developing an intuitive and responsive web application interface.\n\n---\n\n## 📚 Lessons Learned\n\nKey lessons learned from this project include:\n\n- Importance of feature selection and engineering in financial prediction tasks.\n- Evaluation and comparison of various regression models for stock price forecasting.\n- Deployment and usability considerations for interactive web applications.\n\n---\n\n## 📄 License\n\nThis project is licensed under the Apache License 2.0. See the [LICENSE](LICENSE) file for more details.\n\n---\n\n## 📬 Contact\n\n- **Email:** [iconicemon01@gmail.com](mailto:iconicemon01@gmail.com)\n- **WhatsApp:** [+8801834363533](https://wa.me/8801834363533)\n- **GitHub:** [Md-Emon-Hasan](https://github.com/Md-Emon-Hasan)\n- **LinkedIn:** [Md Emon Hasan](https://www.linkedin.com/in/md-emon-hasan)\n- **Facebook:** [Md Emon Hasan](https://www.facebook.com/mdemon.hasan2001/)\n\nFeel free to reach out for any questions or feedback regarding the project!\n\n---\n\nFeel free to customize this template further to better fit your project's specific details and style preferences.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmd-emon-hasan%2F1-simple-stock-price-ml-app","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmd-emon-hasan%2F1-simple-stock-price-ml-app","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmd-emon-hasan%2F1-simple-stock-price-ml-app/lists"}