From the course: Applied Machine Learning: Supervised Learning

What is supervised learning?

From the course: Applied Machine Learning: Supervised Learning

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What is supervised learning?

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- [Instructor] Let's talk about supervised learning and what supervised learning is. So, supervised learning is a family of machine learning. There's other types of machine learning, such as unsupervised learning or reinforcement learning. But in supervised learning, at a high level what you have is you have data with rows that you're trying to make predictions for, and then you have some sort of label for that data. In particular, there are two subcategories of supervised learning. One is regression, and the other one is classification. In regression, we are concerned with predicting a numeric value. You can think of predicting what the house price might be or the temperature or predicting a number. Whereas with classification, we are predicting a label such as, is this example spam or does this person have cancer, or is this customer going to churn? So, if you're dealing with numbers, you want regression. If you're dealing with labels, you want classification. And in this course, I will show you how to use both in Python.

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