The project demonstrates a CNN image classifier model "cheetah vs hyena predictor" deployed via a web interface.

ML model deployment using docker, kubernetes; API deployment with FastAPI; and MLOps using MLFlow for water potability dataset

🚗 Car Dheko - Used Car Price Prediction This project enhances Car Dheko's customer experience by deploying an ML model that predicts used car prices accurately. Using a multi-city dataset, we perform data cleaning, feature engineering, and model optimization. The final model is hosted on a Streamlit app, providing instant price prediction.

End-to-end machine learning projects involve the complete process of developing a machine learning model, starting from data collection and preprocessing to training, evaluation, and deployment. These projects encompass data exploration, feature engineering, model selection, performance evaluation, and integration with production systems

Flask App for machine learning predictions with embedded dash app