A dockerized prediction API for crypto.

A simple python web service to host an ML model for prediction.

A simple template of a Python API (web-service) for real-time Machine Learning predictions, using scikitlearn-like models, Flask and Docker.

Expose python machine learning project as REST API

SugarSense : The Diabetes Prediction Application

Haro.ai Python Library

expose R machine learning project as REST API

Using Flask to deploy your ML Model as a Web Application

🚀 A FastAPI-powered project that uses a trained ML model to classify incoming emails as spam 🛑 or ham 📧 in real-time. Supports CSV batch processing 📂, multi-query input 🔄, and detailed logging with usage stats 📊.

Hello, this app uses genderize, agify and nationalize API's together to create a small prediction app. Using the users name it sends 3 separates fetch requests to retrieve the predicted data.

Prediction using LightGBM model file

Example using the multivariate data analysis (MVA) prediction API

POC of socring rest service od Spark ML Pipelines

End-to-End ML Training, Evaluation and Prediction API with FastAPI, scikit-learn, Docker

A FastAPI-based REST API that predicts insurance premium categories (Low/Medium/High) using a pre-trained scikit-learn ML model with automated feature engineering via Pydantic.

Motor de IA preditiva para estimativa de crescimento de biomassa em tanques de cultivo de microalgas. Recebe dados de sensores IoT (pH, temperatura, turbidez, luminosidade e radiação PAR) e retorna previsão de biomassa em g/L, data estimada de colheita e confiança do modelo via API REST. Desenvolvido com Python 3.11, FastAPI e Random Forest (scikit