About this Course

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Some prior experience with machine learning programming in Python and scikit-learn.

Approx. 4 hours to complete

Suggested: 2 hours...

English

Subtitles: English

What you will learn

  • Check

    Use visual diagnostic tools from Yellowbrick to steer your machine learning workflow

  • Check

    Vectorize text data using TF-IDF

  • Check

    Cluster documents using embedding techniques and appropriate metrics

Skills you will gain

Data ScienceNatural Language ProcessingMachine LearningPython ProgrammingData Visualization (DataViz)

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Some prior experience with machine learning programming in Python and scikit-learn.

Approx. 4 hours to complete

Suggested: 2 hours...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Project: Analyze Text Data with Yellowbrick

2 hours to complete
2 readings
2 readings
Project-Based Course Overview10m
Congratulations!10m
1 practice exercise
Analyze Text Data with Yellowbrick10m

Instructor

Image of instructor, Snehan Kekre

Snehan Kekre 

Machine Learning Instructor
202 Learners
4 Courses

Offered by

Rhyme logo

Rhyme

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.