June 2024
Beginner to intermediate
6h 7m
English
on-demand course
Natural Language Processing - Embeddings and Text Preprocessing in Python
with Lazy Programmer
Closed Captioning available in English
Overview
In this 6-hour course, explore the exciting and practical world of Natural Language Processing (NLP) using Python. This course takes you from the basics of text preprocessing, such as tokenization and lemmatization, to advanced NLP techniques like implementing TF-IDF and neural word embeddings. Master the fundamental concepts and real-world applications of NLP.
What I will be able to do after this course
- Gain a solid foundation in text preprocessing techniques, ensuring effective NLP workflows.
- Learn to implement Bag of Words, Count Vectorizer, and TF-IDF models in Python.
- Grasp key practices like stemming, lemmatization, and stopword removal for cleaner text data.
- Understand vector similarity and build recommender systems with skill and precision.
- Explore and apply neural embedding techniques for advanced NLP applications.
Course Instructor(s)
Your instructor, Lazy Programmer, is a seasoned expert in machine learning and practical programming. With years of experience teaching technical topics, they bring a clear and approachable teaching style to this course. Their in-depth understanding of core and advanced NLP concepts equips you with the skills needed to excel in your projects.
Who is it for?
This course is perfect for data scientists, machine learning engineers, and developers looking to advance their NLP skills. If you have basic-level Python knowledge and a curiosity about NLP, you'll find this course valuable. Ideal for learners eager to implement text preprocessing and vector models in real-world applications.
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