Skip to content
#

ml-deployment

Here are 34 public repositories matching this topic...

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…

  • Updated Nov 4, 2021
  • Jupyter Notebook

An end-to-end ML project, which aims at developing a regression model for the problem of predicting the sales of a given product, based on its properties like item category, weight, visibility, MRP, type of outlet the product is sold, size of the outlet etc.

  • Updated Mar 11, 2023
  • Python

Improve this page

Add a description, image, and links to the ml-deployment topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the ml-deployment topic, visit your repo's landing page and select "manage topics."

Learn more