Introduction to NLP
Cursus
180 Al ingeschreven studenten- Grasp text preprocessing fundamentals, including tokenization and removal of stop words.
- Understand the process of stemming and lemmatization for textual data.
- Discover basic text models and how to represent textual information effectively.
- Become familiar with word embeddings and the implementation of Word2Vec.
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Er zijn 4 modules in deze cursus
Let's explore the fundamentals of Natural Language Processing (NLP) as you delve into text preprocessing techniques and various text models used to represent text data. You will gain practical insights and hands-on experience with the tools and methods essential for analyzing and interpreting textual data effectively. This course equips you with the skills to transform raw text into meaningful information, paving the way for advanced applications in AI and machine learning.- NLP and Its ApplicationsVoorbeeld
- Understanding Text PreprocessingVoorbeeld
- TokenizationVoorbeeld
- Challenge: Tokenizing a SentenceVoorbeeld
- Tokenization Using Regular ExpressionsVoorbeeld
- Challenge: Tokenizing Using RegexVoorbeeld
- Removing Stop WordsVoorbeeld
- Applying Text Preprocessing in PracticeVoorbeeld
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Kwizera Mugisha
The teaching methodology at Codefinity is excellent, and I particularly appreciate how it has prepared me to handle real-world coding problems. Currently, I am delving into Node.js and eagerly anticipate building full-stack projects that integrate all the knowledge I have gained.

Sherry Barnes-Fox
My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.

Bill Wagner
I have really liked the browser-based lessons that allow me to code within the lesson. The RUN button allows me to test the code I write before submitting for a grade.

Stephanie Chan
As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.

Daniel Chinea
I have gained a lot of practical and logical thinking skills, along with patience for myself and confidence in myself that I can learn programming.

Steve Bruening
The learning was progressive and made it easy to follow along and make progress. I could feel my skills increasing and building on each other as the course went along.
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