This project demonstrates the working of tensorflow-extended for creating scalable ML pipelines as well to automate CI/CD pipelines.
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Updated
Aug 12, 2024 - Python
This project demonstrates the working of tensorflow-extended for creating scalable ML pipelines as well to automate CI/CD pipelines.
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This is an interactive Streamlit web application that predicts the risk of diabetes using clinical features. The underlying machine learning model is a Random Forest classifier trained on the well-known Pima Indians Diabetes dataset. The app includes intuitive input sliders, real-time predictions, explainability, and visual data analysis.
A simple Machine Learning project on Titanic Dataset.
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