Introduction to Natural Language Processing in Python
|
Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.
In this course, you’ll learn natural language processing (NLP) basics, such as how to identify and separate words, how to extract topics in a text, and how to build your own fake news classifier. You’ll also learn how to use basic libraries such as NLTK, alongside libraries which utilize deep learning to solve common NLP problems. This course will give you the foundation to process and parse text as you move forward in your Python learning.
User Reviews
Be the first to review “Introduction to Natural Language Processing in Python”
Related Products
Microsoft Cognitive Services: Bing Autosuggest
Providing a real-time search experience for your users by suggesting terms as they type can set your app apart! Bing Autosuggest makes those terms intelligent based off of machine learning and geolocation. Find out how to use it in this course.
Introduction to Text Analysis in R
Analyze text data in R using the tidy framework.
DelftX: AI in Practice: Applying AI
Learn about the implementation and practical aspects of Artificial Intelligence and how to write a plan for applying AI in your own organization in a step-by-step manner.
Microsoft Cognitive Services: Text Analytics 1 API
In this course you will gain a foundational knowledge of the Text Analytics API that will help you move forward with your overall understanding of the Microsoft Cognitive Services Suite.
AWS: Introduction to Machine Learning on AWS
This course is intended for software developers and engineers taking their first steps with the AWS services that do much of heavy lifting of Machine Learning for you.
HKUx: FinTech Technologies
Learn the top FinTech technologies that are transforming today’s world of finance and technology.
There are no reviews yet.