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

Example using the multivariate data analysis (MVA) prediction API

🚀 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 📊.

Prediction using LightGBM model file

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.

POC of socring rest service od Spark ML Pipelines

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.

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

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