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Natural Language Processing and Capstone Assignment

Approx. 5 hours to complete

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Course Summary

This course provides an introduction to natural language processing techniques and their applications. In the capstone project, students will build a machine learning model to solve a real-world NLP problem.

Key Learning Points

Learn the fundamentals of natural language processing
Gain hands-on experience with real-world NLP problems
Build a machine learning model to solve a real-world NLP problem

Learning Outcomes

Understand the basics of natural language processing techniques
Gain practical experience in building machine learning models for NLP problems
Develop a portfolio project to showcase your NLP skills

Prerequisites or good to have knowledge before taking this course

Basic knowledge of Python programming
Familiarity with machine learning concepts

Course Difficulty Level

Intermediate

Course Format

Online self-paced course
Video lectures
Hands-on projects

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Applied Machine Learning
Text Mining and Analytics
Introduction to Deep Learning

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Description

Welcome to Natural Language Processing and Capstone Assignment. In this course we will begin with an Recognize how technical and business techniques can be used to deliver business insight, competitive intelligence, and consumer sentiment. The course concludes with a capstone assignment in which you will apply a wide range of what has been covered in this specialization.

Knowledge

Applications of natural language processing
Basics of social media analytics
Future trends and possibilities in data science

Outline

Natural Language Processing I
Social Media Analytics
Natural Language Processing I
Supplemental Resources

Natural Language Processing II
Natural Language Processing II
Supplemental Resources
Modules 1 and 2

The Past, Present, and Future of Data Science I
Future of Data Analytics
The Past, Present, and Future of Data Science I
Supplemental Resources

The Past, Present, and Future of Data Science II
The Past, Present, and Future of Data Science II
Supplemental Resources
Modules 3 and 4

Summary of User Reviews

This natural language processing course has received positive reviews from users. Many users praised the course for its hands-on approach to learning.

Key Aspect Users Liked About This Course

Hands-on approach to learning

Pros from User Reviews

In-depth coverage of natural language processing concepts
Excellent course structure
Assignments and projects help to reinforce concepts
Great instructor support
Opportunity to work with real-world datasets

Cons from User Reviews

Some users found the course content to be too challenging
Limited interaction with other students
Course materials could be more visually engaging
Some technical issues with the platform
Certificate of completion is not free

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