FreeAI/Machine Learningintermediate

Natural Language Processing

Name: Natural Language Processing
Availability: InStock

A guide on the fundamental concepts of NLP, from basic text cleaning to advanced topic modelling and project implementation with Python

2 weeksEN4 lessons457 enrolled

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Course Curriculum

1 modules · 4 subjects · 4 lessons

A Practical Guide to Natural Language ProcessingAuto-generated curriculum based on a provided list of sessions and video URLs.

4 subjects

Foundations of NLPNew Description

1 lessons

Introduction to NLPThis lesson covers the fundamentals of NLP, from its booming relevance to foundational techniques like Regex and the NLP pipeline.

Text Pre-processing and Feature EngineeringExploring the crucial steps of preparing text data for machine learning models, including tokenization, stemming, and feature creation.

1 lessons

Text Cleaning and PreparationThis lesson covers essential data preparation steps like tokenization, stemming, and lemmatization, and compares popular libraries.

Text Representation and EmbeddingsMethods for converting text into numerical features that can be used by machine learning models.

1 lessons

Converting Text to DataThis lesson explores various text representation techniques, from simple Bag of Words to advanced Word Embeddings and their practical applications.

Practical ProjectsEnd-to-end projects that apply the NLP skills learned in the previous subjects.

1 lessons