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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

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 applies machine learning models to predict BMI categories based on individual physical attributes, utilizing MLflow for experiment tracking and model management, with integration into DagsHub for collaborative data science workflows. It showcases the power of MLflow in enhancing model lifecycle management and reproducibility.

  • Updated Apr 19, 2024
  • Python

A sophisticated sentiment analysis project that classifies YouTube comments into positive, neutral, or negative sentiments using advanced machine learning techniques. This production-ready solution combines LightGBM for high-performance sentiment classification with modern MLOps practices.

  • Updated Nov 26, 2024
  • Jupyter Notebook
MLoperations-project-with-mlflow

This project involves building a end to end ML to predict the quality of wine based on various chemical properties. The dataset used includes features such as acidity, sugar content, pH level, and alcohol content. The goal is to provide an accurate prediction of wine quality on a scale from 0 to 10.

  • Updated Mar 13, 2025
  • C

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