About this Course

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Some experience in Python programming and machine learning theory is recommended.

Approx. 1 hour to complete

English

Subtitles: English

What you will learn

  • Apply decision trees and random forests with scikit-learn to classification problems

  • Interpret decision trees and random forest models using feature importances

  • Tune model hyperparamters to improve classification accuracy

  • Create interactive, GUI components in Jupyter notebooks using widgets

Skills you will gain

Decision TreeMachine LearningRandom ForestclassificationScikit-Learn

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Some experience in Python programming and machine learning theory is recommended.

Approx. 1 hour to complete

English

Subtitles: English

Offered by

Rhyme logo

Rhyme

Syllabus - What you will learn from this course

Week
1

Week 1

1 hour to complete

Project: Predict Employee Turnover with scikit-learn

1 hour to complete
1 reading
1 reading
Project-Based Course Overview15m
1 practice exercise
Test Your Project Understanding10m

Frequently Asked Questions

  • Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

  • If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

  • Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

  • If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

  • This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.

  • A project-based course enables you to practice applying a skill by providing you all the guidance, tools, and data you need to complete a project.

More questions? Visit the Learner Help Center.