mlops-zoomcamp VS mlbookcamp-code

Compare mlops-zoomcamp vs mlbookcamp-code and see what are their differences.

mlbookcamp-code

The code from the Machine Learning Bookcamp book (by alexeygrigorev)
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mlops-zoomcamp mlbookcamp-code
23 184
8,778 202
2.8% -
7.5 3.6
20 days ago 3 months ago
Jupyter Notebook Jupyter Notebook
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

mlops-zoomcamp

Posts with mentions or reviews of mlops-zoomcamp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-12.

mlbookcamp-code

Posts with mentions or reviews of mlbookcamp-code. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-05.

What are some alternatives?

When comparing mlops-zoomcamp and mlbookcamp-code you can also consider the following projects:

data-engineering-zoomcamp - Free Data Engineering course!

mglearn - mglearn helper package for "Introduction to Machine Learning with Python"

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

MLZoomCamp_MidTermProject

software-dev-for-mlops-101 - Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.

fake-s3 - A lightweight server clone of Amazon S3 that simulates most of the commands supported by S3 with minimal dependencies

ml-zoomcamp

20220726_Databricks_Demo_Transfer_Learning_with_MLflow - We will go hands-on with an image classification demo using transfer learning, while leveraging MLflow to track our model experiments on Databricks

awesome-mlops - A curated list of references for MLOps

PythonDataScienceHandbook - Python Data Science Handbook: full text in Jupyter Notebooks