shaman
Shaman offers a robust machine learning library for Node.js, facilitating both simple and multiple linear regression. Users can choose between the Normal Equation and Gradient Descent for model training, with customizable options for iterations and learning rates. It also includes k-means clustering, enhancing data analysis capabilities through practical examples.
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Top shaman Features
- Customizable learning rate
- Debugging output for troubleshooting
- Cost function visualization
- Alternative training algorithms
- Simple and multiple regression support
- K-means clustering implementation
- Node.js compatibility
- Iterative training options
- Regression model evaluation
- Cost function tracking
- User feedback integration
- Real-world example code
- Easy-to-use API
- Lightweight library design
- Open-source under MIT
- Extensive documentation available
- Support for various datasets
- Interactive data analysis
- Performance optimization features
- Feedback-driven development process
