From the course: Python: Working with Predictive Analytics

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Introduction to predictive models

Introduction to predictive models - Python Tutorial

From the course: Python: Working with Predictive Analytics

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Introduction to predictive models

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- [Instructor] With our prepared data now we can start training the prediction models. Data prep part is where most engineers and data scientists spend the majority of their time and effort. So be sure to celebrate once you've finished preparing your data. Let's take a step back and talk about what prediction is, what the common use cases and examples are, and look at some of the most used models. First, let's start from the beginning. Machine learning models divide into three categories. First, supervised which are models with label data. Second, there's unsupervised which are the models without the labeled data. And finally, the reinforcement learning, which is a method based on trial and error using feedback. So what are some examples of prediction? For supervised learning, where we used labeled data, the most commonly used learning methods are regression and classification. What's the difference? The output variable in regression is numerical and the output variable for…

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