Plato is a Julia-based project designed to streamline data analysis, machine learning, and reporting. This project is currently a work in progress, and contributions are welcome.
- Data Generation: Create synthetic data for testing and development.
- File I/O: Read and write data in various formats including CSV, JSON, XLSX, and Feather.
- SQLite Integration: Create and manage SQLite databases.
- Statistical Analysis: Perform descriptive statistics, correlation analysis, and more.
- Text Analysis: Summarize text data and perform sentiment analysis.
- Machine Learning: Implement basic machine learning algorithms like linear regression, logistic regression, and k-means clustering.
- Reporting: Generate HTML and Markdown reports.