Natural Language Processing – Embeddings and Text Preprocessing in Python
English | Tutorial | Size: 906.9 MB
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.
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