Coupon & course info
Course Name: Easy Natural Language Processing (NLP) in Python
Subtitle: A-Z guide to practical NLP: spam detection, sentiment analysis, article spinners, and latent semantic analysis.
Instructor: Taught by Lazy Programmer Inc., Data scientist and big data engineer
Subcategory: Data & Analytics
Provided by: Udemy
Price: $120 (before discount)
Free coupon code: See above (no charge for coupon)
Review info & popularity
As of January 2, 2017…
Students: 2402 students enrolled
Ratings: 254 reviews
Rank: ranked #83f in Udemy Business Courses
Brief course description
In this course you will build MULTIPLE practical systems using natural language processing, or NLP – the branch of machine learning and data science that deals with text and speech. This course is not part of my deep learning series, so there are no mathematical prerequisites – just straight up coding in Python. All the materials for this course are FREE.
After a brief discussion about what NLP is and what it can do, we will begin building very useful stuff. The first thing we’ll build is a spam detector. You likely get very little spam these days, compared to say, the early 2000s, because of systems like these.
Next we’ll build a model for sentiment analysis in Python. This is something that allows us to assign a score to a block of text that tells us how positive or negative it is. People have used sentiment analysis on Twitter to predict the stock market.
(Read more about this course on the official course page.)
Lazy Programmer Inc. bio
I am a data scientist, big data engineer, and full stack software engineer.
(Learn more about this instructor on the official course page.)
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Final details for this Udemy course
Skill level: All Levels
Lectures: 20 lessons
Duration: 2 hours of video
What you get: Write your own spam detection code in Python
Target audience: Students who are comfortable writing Python code, using loops, lists, dictionaries, etc.
Requirements: Install Python, it’s free!
Access: Lifetime access
Peace of mind: 30 day money back guarantee
Availability: available online, as well as on iOS and Android
Download options: check course to see if you can download lessons