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awscodepipeline

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project is a machine learning-driven application that uses Logistic Regression to assess the likelihood of an individual having diabetes based on their health metrics. Leveraging Python and Flask, this web-based tool provides an intuitive interface for users to input health data and receive predictions conveniently. Deployed on AWS BeanStalk

  • Updated Dec 29, 2023
  • Jupyter Notebook

This project is for classify the churnability of the customer for a Bank. The model takes into account the important factors such as Credit Score, Geography, Gender, Age, Tenure, Balance, NumOfProducts, HasCrCard, IsActiveMember and EstimatedSalary

  • Updated Sep 16, 2024
  • Jupyter Notebook

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