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Learner Reviews & Feedback for Perform Sentiment Analysis with scikit-learn by Coursera Project Network

409 ratings

About the Course

In this project-based course, you will learn the fundamentals of sentiment analysis, and build a logistic regression model to classify movie reviews as either positive or negative. We will use the popular IMDB data set. Our goal is to use a simple logistic regression estimator from scikit-learn for document classification. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and scikit-learn pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Top reviews


Jul 1, 2020

This project is very useful for people that don't know anything about sentiment analysis and it's approach with Scikitlearn, like me. It's very introductory.


May 19, 2020

Very well designed course. Starting from the beginning of text pre-processing till evaluation of model, all steps are explained and implemented very well.

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51 - 56 of 56 Reviews for Perform Sentiment Analysis with scikit-learn

By Brijesh G

Jun 10, 2020

More explanation is needed.

Pre-requisites were not mentioned.

Explanations needs to be more cleared.

Project is costly if compared to the content. Youtube has same content in free.

By Malki W

Jun 2, 2020

The practical session wasn't available. Forever connecting. But the videos are good. And glad the instructor has uploaded the notebook in resources

By Cesar K K

Jul 17, 2020

As a project, I was expecting a practical use. It looks like a simple exercise

By Robin S P

Aug 8, 2020

It's good but not as expected. Instructor did not explained the concepts well and also did not used the model on custom input. Just left the project after showing the accuracy of the trained model.

Very much disappointed from this guided project

By Harsh R

Apr 14, 2020

Not a course for a beginner the course needs deep knowledge to understand and the explanation is not that good to understand the different parameters and arguments of SKLEARN

By Camilo M

Jun 1, 2020

I can't start project guided because i can't login to working platform.