Welcome back to our AWS Machine Learning Associate Series, which we started for our non-tech blog readers to learn AWS Machine Learning for free and clear the AWS ML Associate certification. In our last post, we looked at how raw data must be cleaned and validated before training.
Now, let’s imagine Jake and Ethan are back at the counter. The ledger is perfectly neat, but Jake has a brand-new problem. He suspects someone has been sneaking into his shop and altering his sales records, or worse—making fraudulent transactions. He needs a way to automatically spot these weird, unusual entries.
In this post, let's explore the highly popular Isolation Forest algorithm through Jake and Ethan's story. Ready for the challenge? Let's begin!
