Applied Data Science with Python 专项课程
Gain new insights into your data . Learn to apply data science methods and techniques, and acquire analysis skills.
Applied Data Science with Python 专项课程
5 coursesApplied Text Mining in Python
Course 4 of 5 in the Applied Data Science with Python Specialization
What you will learn
- Apply basic natural language processing methods
- Describe the nltk framework for manipulating text
- Understand how text is handled in Python
- Write code that groups documents by topic
Skills you will gain
Syllabus - What you will learn from this course
1
Module 1: Working with Text in Python
2
Module 2: Basic Natural Language Processing
3
Module 3: Classification of Text
4
Module 4: Topic Modeling
20%
83%
10%
Top Reviews
Quite challenging but also quite a sense of accomplishment when you finish the course. I learned a lot and think this was the course I preferred of the entire specialization. I highly recommend it!
Excellent course! Video lectures are high quality, with realistic problems and applications. Exercises are reasonably challenging, and all quite fun to do! Strongly recommend this course
Instructor
V. G. Vinod Vydiswaran
Assistant ProfessorAbout University of Michigan
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I pay for this course?
If you pay for this course, you will have access to all of the features and content you need to earn a Course Certificate. If you complete the course successfully, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. Note that the Course Certificate does not represent official academic credit from the partner institution offering the course.
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