Intro to Scikit Learn Assessment
Intro to Scikit Learn Assessment Data Science Project
Introduction to Supervised Learning with scikit-learn

Intro to Scikit Learn Assessment

The objective of this lab is to evaluate your familiarity with Scikit-Learn, a widely-used open-source machine learning library in Python
Start this project

Project Activities

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

Scikit-Learn is primarily focused on

multiplechoice

In Scikit-Learn, what is the role of a model class?

multiplechoice

Scikit-Learn is built on top of which Python libraries?

multiplechoice

What does the following line of code achieve in Scikit-Learn?

from sklearn.ensemble import RandomForestClassifier

classification_model = RandomForestClassifier()
multiplechoice

What is the purpose of the following code in Scikit-Learn?

from sklearn.neighbors import KNeighborsClassifier

classification_model = KNeighborsClassifier()
Intro to Scikit Learn AssessmentIntro to Scikit Learn Assessment
Author

Verónica Barraza

This project is part of

Introduction to Supervised Learning with scikit-learn

Explore Skill Track
Explore other projects
Practice Data Filtering & Sorting with Hollywood Movie Data
How Much Do You Know About Anime?: Filtering, Selection and Sorting
Pandas Capstone Project: Visualizing apps from the Apple App Store