jane-smith /
python-ml-toolkit
Machine learning toolkit for Python with various algorithms and utilities for data science projects.
Python
Updated 5 hours ago
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Forks
1,876
Watchers
3,542
Commits
47
Contributors
Last updated
December 15, 2024
Files
src
components
Header.tsx
Footer.tsx
Button.tsx
pages
Home.tsx
About.tsx
App.tsx
index.tsx
public
index.html
favicon.ico
package.json
README.md
tsconfig.json
README.md
markdown
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# Awesome React App This is a modern React application built with TypeScript and modern web development practices. ## Features - ⚡ Fast and performant- 🎨 Modern UI design- 📱 Fully responsive- 🔧 TypeScript support- 🧪 Comprehensive testing ## Getting Started ### Prerequisites - Node.js 16.x or higher- npm or yarn ### Installation 1. Clone the repository```bashgit clone https://github.com/username/awesome-react-app.git``` 2. Install dependencies```bashnpm install``` 3. Start the development server```bashnpm start``` ## Available Scripts - `npm start` - Runs the app in development mode- `npm test` - Launches the test runner- `npm run build` - Builds the app for production- `npm run eject` - Ejects from Create React App ## Contributing 1. Fork the repository2. Create your feature branch (`git checkout -b feature/amazing-feature`)3. Commit your changes (`git commit -m 'Add some amazing feature'`)4. Push to the branch (`git push origin feature/amazing-feature`)5. Open a Pull Request ## License This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.