From the course: Supervised Learning Essential Training
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Predicting with supervised learning - Python Tutorial
From the course: Supervised Learning Essential Training
Predicting with supervised learning
- [Instructor] Here's something to note, the supervised machine learning model can't make accurate predictions without our help. We have to think about two phases of the modeling process; the learning or training phase and the prediction phase. In the learning phase, we show our machine thousands of examples of data. For example, imagine if you're training your machine to identify fraudulent orders that are placed online. You'd have to provide boatloads of data on quantity, order time, order frequency and IP addresses. And of course, the dependent variable is if it's fraud or not? Upon ingestion, the supervised learning model could potentially learn the subtle patterns that would be otherwise difficult to decipher manually. So that's the learning phase, providing our supervised learning model with clean and sufficient data for it to learn patterns. After the machine has a chance to look at the examples, we then show it brand…
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