Chevron Left
Volver a Perform Sentiment Analysis with scikit-learn

Opiniones y comentarios de aprendices correspondientes a Perform Sentiment Analysis with scikit-learn por parte de Coursera Project Network

4.5
estrellas
404 calificaciones

Acerca del Curso

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....

Principales reseñas

JP

1 de jul. de 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.

AY

19 de may. de 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.

Filtrar por:

51 - 56 de 56 revisiones para Perform Sentiment Analysis with scikit-learn

por Brijesh G

10 de jun. de 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.

por Malki W

2 de jun. de 2020

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

por Cesar K K

17 de jul. de 2020

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

por Robin S P

8 de ago. de 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

por Harsh S R

14 de abr. de 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

por Camilo M

1 de jun. de 2020

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