Machine Learning Algorithm Recipes in scikit-learn

Last Updated on August 21, 2019

You have to get your hands dirty.

You can read all of the blog posts and watch all the videos in the world, but you’re not actually going to start really get machine learning until you start practicing.

The scikit-learn Python library is very easy to get up and running. Nevertheless I see a lot of hesitation from beginners looking get started. In this blog post I want to give a few very simple examples of using scikit-learn for some supervised classification algorithms.

Kick-start your project with my new book Machine Learning Mastery With Python, including step-by-step tutorials and the Python source code files for all examples.

Let’s get started.

Scikit-Learn Recipes

You don’t need to know about and use all of the algorithms in scikit-learn, at least initially, pick one or two (or a handful) and practice with only those.

In this post you will see 5 recipes of supervised classification algorithms applied to small standard datasets that are
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