Learning from Failure: A Machine Learning Project Gone Wrong

Gif from this website

Failed ML Project - How bad is the real estate market getting?

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.