Popular GitHub Repositories for Api Development

The Decision Tree Model Trainer Backend is a server-side application built with Node.js and Python. It is designed to handle the training of decision tree models based on user input.

This project demonstrates a complete pipeline for building a machine learning model using XGBoost on sustainable energy data, integrated with a FastAPI-based REST API. The application allows users to upload data, train the model, and make predictions via API endpoints. Docker and PostgreSQL are used for containerization and data management.