From the course: More Python Tips, Tricks, and Techniques for Data Science
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sklearn Estimator API - Python Tutorial
From the course: More Python Tips, Tricks, and Techniques for Data Science
sklearn Estimator API
- The primary means for the manifestation of data science is machine learning. In this video, I'll give you a brief refresher on machine learning vocabulary, what are the basic steps to solve a particular machine learning problem, and how we can use the scikit learn estimator API to perform all those tasks. So first let's go through the basics of machine learning. So there are basically two basic types of machine learning. And the first one is supervised machine learning problems, where we develop models that can predict labels after learning from a labeled dataset. Whereas the second type is unsupervised, where we develop models that identify the structure in unlabeled data set. So we have two types of supervised learning problems. First one is classification where we are solving problems that require predicting labels as two or more discrete categories. Whereas the other kind of problem is regression problems where we are…
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