Prototyping a Machine Learning Application with Streamlit, FastAPI, Hugging Face and Docker

Web app to predict knee osteoarthritis grade using Deep Learning and Streamlit

🔍 Flask-based web application for image classification. The application leverages the ResNet50 model from Keras to classify uploaded images.

A ML application focused on EDA and basketball analytics, showcasing data visualization and insights using Python and relevant libraries.

ML Web-App using Tensorflow and Django.

A simple mahcine learning application for stock prices, demonstrating data preprocessing, model training, and deployment using scikit-learn.

A movie recommendation engine that recommends you movies based on their similarity to a movie that you've already watched and liked.

🏠 Built with machine learning, Dockerized for containerization, and automated with GitHub Actions for seamless CI/CD deployment with Render.

Flusk Tutorial is featuring a to Flask, a Python web framework. It may include basic or tutorials covering Flask fundamentals for Machine Learning.

Web App to do Sentiment Analysis on the given text

Credit Card Transaction Fraud Detection App built using XGBoost, FastApi, Streamlit and Docker

This web app uses a Random Forrest Regressor model to suggest a suitable price for used cars.