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End to End DS Project

This project developed to explain end to end project structure. It includes -

  • Project structure, Cutom Logging and Exception Handling
  • EDA and Model training
  • Data Ingestion
  • Data Transformation
  • Hyperparameter tuning
  • Model selection.
  • Model performance evaluation
  • Predict Pipline
  • Model Deployment

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# End-to-End ML Project

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