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dagshub

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This project contains the production-ready Machine Learning solution for detecting and classifying Covid-19, Viral disease, and No disease in posteroanterior and anteroposterior views of chest x-ray

  • Updated Mar 31, 2023
  • Python

𝗠𝗟 𝗽𝗿𝗼𝗷𝗲𝗰𝘁, encompassing key topics like 𝗗𝗮𝗴𝘀𝗵𝘂b and 𝗠𝗟𝗳𝗹𝗼𝘄 for version control, 𝗠𝗟𝗢𝗽𝘀 practices for efficient deployment, and robust 𝗖𝗜/𝗖𝗗 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 setup. Showcased 𝗔𝗪𝗦 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 with the help of 𝗚𝗶𝘁𝗛𝘂𝗯 𝗔𝗰𝘁𝗶𝗼𝗻 prowess for seamless machine learning application integration.

  • Updated Aug 2, 2023
  • Jupyter Notebook

Aircraft components are susceptible to degradation, which affects directly their reliability and performance. This machine learning project will be directed to provide a framework for predicting the aircraft’s remaining useful life (RUL) based on the entire life cycle data in order to provide the necessary maintenance behavior.

  • Updated Nov 5, 2023
  • CSS

This project focuses on forecasting customer churn in the telecom industry by leveraging various features. The goal is to implement a straightforward, real-time prediction system capable of handling both batch and online predictions. The predictive model is deployed using Streamlit, providing an interactive and user-friendly interface for exploring

  • Updated Feb 3, 2024
  • Jupyter Notebook

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