408 ratings
10,382 already enrolled
Build and employ a logistic regression classifier using scikit-learn
Clean and pre-process text data
Perform feature extraction with The Natural Language Toolkit (NLTK)
Tune model hyperparameters and evaluate model accuracy
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.
Data Science
Machine Learning
Python Programming
Data Analysis
Scikit-Learn
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
by JA
May 26, 2020This is a good project with well explained concept, it has help me remember things I have forgotten
by A
Feb 28, 2020I 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
by HM
Apr 18, 2020It was really good to practise in a way of a real-world example. Instructor also good. Appreciated the content and the resources as well.
by AY
May 19, 2020Very 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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Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
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