FREE Natural Language Processing (NLP) And Text Mining Course
The Natural Language Processing and Text Mining free course gives you a detailed look into how machine learning algorithms can be applied to process large amounts of natural language data.
The course explores the basics of natural language processing, text mining and helps you develop the skills required to get started on a machine learning career.
Skills you will learn
✅Working with Natural Language Toolkit Library
✅Text Extraction and Preprocessing
✅Structuring Sentences
What are the prerequisites to get started with Natural Language Processing (NLP) and Text Mining Learning free course?
There are no prerequisites to learn Natural Language Processing (NLP) and Text Mining Learning free course.
However, it is recommended that learners have a basic understanding of mathematics, statistics, and programming.
How do beginners start with the Introduction to Natural Language Processing and Text Mining free course?
Beginners who want to learn Natural Language Processing and Text Mining can start with the fundamentals first.
Once you have mastered the basics you can move on to the advanced topics
Is Natural Language Processing and Text Mining easy to learn?
The videos that you find as a part of the Introduction to Natural Language Processing and Text Mining course are created by mentors who are industry leaders with vast experience in the field.
They are aware of the needs of different learners and have designed the course to be easy to learn.
What are my next best learning options after completing this free Natural Language Processing and Text Mining course?
After completing this free Natural Language Processing and Text Mining course, you can learn advanced concepts with other courses like Artificial Intelligence Engineer Master’s Program or Post Graduate Program in AI and Machine Learning.
What are the career opportunities after completing the Natural Language Processing and Text Mining course?
Common careers after this course include:
✅ML Engineer
✅Analytics Manager
✅Business Analyst
✅Information Architect
✅Developer