Learning from Failure: A Machine Learning Project Gone Wrong

Jae Duk Seo
6 min readDec 21, 2022
Gif from this website

We should share our failures, what mistake did he make on his data science project?

These are the mistakes he made, some of which are general mistakes to avoid in a machine learning market. Also before starting make sure you know what you are asking for.

This guy is able to work with multiple datasets and combine them all together. This is sick. At this point he was happy. He did not know what to do, but was just happy.

Also, he is able to see the difference between the data before and after COVID. You need a lot of experience to make this work.

And he is able to make wise assumptions for the end user.

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Jae Duk Seo

Exploring the intersection of AI, deep learning, and art. Passionate about pushing the boundaries of multi-media production and beyond. #AIArt