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A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.
A Gradio machine learning application that predicts Danish car prices. Project includes web scraping, feature engineering, model creation and deployment
Reference framework for building data workflows provided by Google. Accelerates authentication, logging, scheduling, and deployment of solutions using GCP. To borrow a tagline.. "The framework for professionals with deadlines."
Setu dashboard is a all-in-one streamlit application that allows users to provide feedback on the outputs of the setu data cleaning pipeline for @AI4Bharat