How to controbute to open source?

Introductions
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1

Hello everyone,

I recently completed the Machine Learning Specialization on Coursera, taught by Andrew Ng. To reinforce what I’ve learned and improve my chances of landing a machine learning internship, I’ve decided to work on projects using datasets from sources like Kaggle, the UCI Machine Learning Repository, and others.

In addition to this, I’m also interested in contributing to open-source projects. However, I’m unsure where to find relevant open-source opportunities and which types of projects would be suitable for someone with my current level of experience.

I would greatly appreciate any suggestions on resources, platforms, or strategies to help me get started.

Thank you

2

Just my opinion (as I generally do not speculate on career advice):

The MLS course only covers the basics of a few ML methods. It does not teach enough skills that will be needed to contribute to open source projects, or gain an internship.

The strategy you cover in your first paragraph seems useful.

Also I recommend you continue on with intermediate level courses, such as the Deep Learning Specialization.

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