In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application.

Scoping (optional) coursera 3rd week quiz anwers

This repo is supposed to contain all the materials covered in the deeplearning.ai course - Introduction to machine learning in production

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Notebooks from deeplearning.ai course "Introduction to Machine Learning in Production"

This repository is the notes of the "Introduction to Machine Learning In Production" by DeepLearning.ai