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Perform Sentiment Analysis with scikit-learn(으)로 돌아가기

Coursera Project Network의 Perform Sentiment Analysis with scikit-learn 학습자 리뷰 및 피드백

122개의 평가
23개의 리뷰

강좌 소개

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....
필터링 기준:

Perform Sentiment Analysis with scikit-learn의 24개 리뷰 중 1~24

교육 기관: Pranay U

Apr 24, 2020

As a beginner in Data Science, who only knows ML concepts and Exploratory Data Analysis techniques, I really liked this project. I think this project will aid in breaking into the basics of NLP's TF-IDF, bag of words, tokenizer, vectorization concepts.

교육 기관: Anita Y

May 20, 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.

교육 기관: ARIMORO, O I

Feb 29, 2020

I love the part that you had to write your codes as the teacher was teaching. It was a great introduction for me to text and sentiment analysis

교육 기관: Hashan M

Apr 19, 2020

It was really good to practise in a way of a real-world example. Instructor also good. Appreciated the content and the resources as well.

교육 기관: Manoj K

May 24, 2020

This course is very helpful if you want to start working with NLP and want to have better understanding of the basics.

교육 기관: CLARA T

May 28, 2020

The instructor is very clear and the platform friendly. You can learn at your own pace.

교육 기관: Mayank S

Apr 22, 2020


Liked this course a lot.

Am impressed with conciseness.

Will take other courses too.

교육 기관: Arzan A

Apr 13, 2020

Had some trouble with the cloud IDE at the beginning, but overall a nice course

교육 기관: Bishrul H

May 13, 2020

Nicely explained and very good for those who don't have any basics in NLP

교육 기관: Saheli B

Feb 29, 2020

Very interesting and interactive approach .

교육 기관: Galib H K

Apr 25, 2020

Good Explanation! Worth doing.

교육 기관: MRS. S D A

May 30, 2020

Hands on was very useful

교육 기관: Manan B

May 26, 2020

Great Course

교육 기관: purnachand k

May 12, 2020


교육 기관: Tanzim M

Apr 09, 2020


교육 기관: Justice A

May 27, 2020

This is a good project with well explained concept, it has help me remember things I have forgotten

교육 기관: Bhanu T G

May 27, 2020

It'll be better if access time for cloud desktop is not limited.

교육 기관: Manoj K B

May 15, 2020

buffers in the end modules

교육 기관: K Y

May 29, 2020

Informative for beginners

교육 기관: usha

May 18, 2020

Clear explanation.

교육 기관: PUBALI M

May 05, 2020


교육 기관: Gurpreet S C

Apr 19, 2020


교육 기관: Harsh R

Apr 15, 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

교육 기관: Wasema N I

May 26, 2020

Very troublesome. The videos don't load at all... No idea what to do... I request the teachers to fix whatever problems that is present.