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 movie recommendation engine that recommends you movies based on their similarity to a movie that you've already watched and liked.
A ML application focused on EDA and basketball analytics, showcasing data visualization and insights using Python and relevant libraries.
A simple mahcine learning application for stock prices, demonstrating data preprocessing, model training, and deployment using scikit-learn.
ML Web-App using Tensorflow and Django.
Flusk Tutorial is featuring a to Flask, a Python web framework. It may include basic or tutorials covering Flask fundamentals for Machine Learning.
This project predicts housing prices in Boston using machine learning techniques.
🏠 Built with machine learning, Dockerized for containerization, and automated with GitHub Actions for seamless CI/CD deployment with Render.
Web App to do Sentiment Analysis on the given text
🌸 A beginner-friendly Streamlit web app that predicts Iris flower species using a Random Forest classifier. Interactive, educational, and deployed on Streamlit Cloud.
AgroNomics is a machine learning web application that forecasts crop prices using historical agricultural data, seasonal trends, and region-specific variables. Built with Flask and scikit-learn, it provides nationwide coverage with state- and district-level insights, enabling farmers to make accurate, data-driven market decisions.
This web app uses a Random Forrest Regressor model to suggest a suitable price for used cars.
🔍 Flask-based web application for image classification. The application leverages the ResNet50 model from Keras to classify uploaded images.
Credit Card Transaction Fraud Detection App built using XGBoost, FastApi, Streamlit and Docker
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