The objective of this lab is to familiarize ourselves with Scikit-Learn, a popular open-source machine learning library in Python. We will learn how to perform basic classification and regression tasks using Scikit-Learn, as well as explore some of its most useful functions and features.
All our Data Science projects include bite-sized activities to test your knowledge and practice in an environment with constant feedback.
All our activities include solutions with explanations on how they work and why we chose them.
multiplechoice
True or False: In Scikit-Learn, each machine learning model is implemented as a class, ensuring consistent interfaces and making it easy to work with different models using similar methods and attributes.
multiplechoice
True or False: To use a specific machine learning model in Scikit-Learn, you need to create an instance of its corresponding class using the model's constructor, which initializes the model with default or user-specified settings.
Author
Verónica Barraza
This project is part of
Introduction to Supervised Learning with scikit-learn
