How to Install scikit-learn

00:00 Installing scikit-learn. In this course, you’ll see version 0.24.2 of scikit-learn running on Python 3.9. Whenever you’re working with a new Python package, it’s considered good practice to work in a virtual environment, and if you need to know more, check out the course which is seen onscreen now.

00:24 scikit-learn has many packages for data science and machine learning, but for this course, you will focus on the model_selection package, specifically on the function train_test_split().

00:36 You can install scikit-learn with pip as seen onscreen.

00:48 If you use Anaconda, then you probably already have scikit-learn installed. However, if you want to use a fresh environment, ensure that you have the specified version or use Miniconda, and then you can install scikit-learn from Anaconda Cloud, with conda install as seen onscreen.

01:20 You’ll also need NumPy, but you won’t have to install it separately because it should be installed alongside scikit-learn. If you want to refresh your NumPy knowledge, then take a look at the official documentation or better still, check out this Real Python course.

01:38 Now that you’re all set up to start using scikit-learn’s train_test_split(), that’s what you’re going to see in the next section of the course.