Everyone teaches how to create a machine learning model. But not that many people teach machine learning model deployment in a real-life scenario. For deploying a machine learning model one should have a professional understanding of software development. Otherwise, a large-scale deployment is not possible. In production, you have to ensure safety and security as well as performance. There are many ways to serve a machine learning model,

  • Serve the model as a rest API developed in Django / fastAPI /flask. or
  • Make a serverless function.

The first option is a good solution, but you need to learn a framework…

Muntakimur Rahaman

A IBM certified Data Science Professional, experienced in Data Science, Machine learning, Deep learning, Data Engineering and MLOps.

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