Course Info & Coupon Details
This course will teach you to practical NLP: spam detection, sentiment analysis, article spinners, and latent semantic analysis. I recommend taking a course, “Data Science: Natural Language Processing (NLP) in Python” by Lazy Programmer Inc.
Course name: Data Science: Natural Language Processing (NLP) in Python
Course instructor: Lazy Programmer Inc. (Data scientist and big data engineer).
Description Course: Complete guide to practical NLP: spam detection, sentiment analysis, article spinners, and latent semantic analysis.
Online course: 23 lectures, All Levels
Video length: 2.5 hours
Categories: Data & Analytics
Students & Ratings: As of October 17, 2017, more than 7,568 students enrolled and have over 1,117 ratings.
Course type Includes: Lifetime access to all videos, including all future updates.
There is no risk: 30-day money back guarantee!
Learn Anywhere Available: iPhone, iPad, Tablets, iOS and Android
Recognition Certificate: You will receive a Course Completion Certification from Udemy platform.
Brief Course Curriculum and Learning Objectives
The online course “Data Science: Natural Language Processing (NLP) in Python” has been developed by Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. Also, the creator of the Bestselling in Natural Language Processing, A/B Testing, Artificial Intelligence Courses on Udemy with over 81,000 students. After successfully completing this course, students will be able to:
With the experience you gain in this course you’ll be able to write your own spam detection code in Python
You’ll be able to write your own sentiment analysis code in Python
Once you complete this course, you’ll be able to perform latent semantic analysis or latent semantic indexing in Python
Finally, Upon completing this course, you’ll be able to have an idea of how to write your own article spinner in Python.
Conclusion and Recommendation
This course is a great way to practical NLP: spam detection, sentiment analysis, article spinners, and latent semantic analysis. If you are comfortable writing Python code, using loops, lists, dictionaries. If you want to learn more about machine learning but don’t want to do a lot of math. If you are professionals who are interested in applying machine learning and NLP to practical problems like spam detection, Internet marketing, and sentiment analysis, then this is the right course for you! Enrolling in Course Now!
Limited Time! Hurry before discount ends 😀
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