saakolch / end-to-end-ML-project

Project of deploying ML and MLOps

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ML-project for further usage

Basic practice for deploying ML and MLOps can be found here. The main points:

  • Understanding the problem statement
  • Data collection
  • Data checks to perform
  • Exploratory data analysis(EDA)
  • Data pre-processing
  • Model training with hyperparameters(optimal)
  • Taking best model

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Project of deploying ML and MLOps


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