From the course: Machine Learning with Scikit-Learn

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Why use scikit-learn for machine learning?

Why use scikit-learn for machine learning? - scikit-learn Tutorial

From the course: Machine Learning with Scikit-Learn

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Why use scikit-learn for machine learning?

- [Instructor] With a host of machine learning tools and frameworks out there why should you scikit-learn? Scikit-learn is a very popular open source machine learning project which is constantly being developed and improved. In this video, I'll share with you some of the major advantages of scikit-learn. First scikit-learn provides a large number of machine learning algorithms. This is important as programming machine learning algorithms from scratch is not easy task. Most models in scikit-learn also have reasonable default values for hyper-parameters. This means that a machine learning algorithm might work well with little tuning. Next, scikit-learn has a clean uniform, and streamlined API. Scikit-learn also works well with other Python libraries, such as NumPy, Pandas, and Mathplotlib. Also, once you understand the basic use in syntax of scikit-learn for one model, switching to another is very straightforward. Finally…

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