Search⌘ K
Home
Courses
Data Science Interview Handbook

Scikit-learn

Explore the capabilities of Scikit-learn, a powerful Python machine learning library. Understand its features for supervised learning, clustering, dimensionality reduction, and model evaluation. Learn how to use built-in datasets and algorithms to create machine learning models efficiently.

We'll cover the following...

Scikit-learn, or sklearn, is the most useful Python-based machine learning library. It was built on top of SciPy, NumPy, Pandas, Matplotlib, etc. It contains a lot of machine learning algorithms to perform different tasks, such as regression, clustering, classification, and text processing.

Scikit-learn is used by programmers to build models. The library can be installed by using the pip command:

pip install sklearn

Features of scikit-learn

These are some of the features of sklearn:

  • Supervised learning: Scikit-learn supports linear models, support vector machines, nearest neighbor, Naive Bayes
    • ...