This course takes you from a beginner level to being able to understand NLP concepts, linguistic theory, and then practice these basic theories using Python – with very simple examples as you code along with me.
Language Syntax: Most NLP courses ignore the core domain of Linguistics. This course explains the fundamentals of Language Syntax & Parse trees – the foundation of how a machine can interpret the structure of s sentence.
New to Python: If you are new to Python or any computer programming, the course instructions make it easy for you to code together with me. I explain code line by line.
The gentle pace takes you gradually from these basics of NLP foundation to being able to understand Mathematical & Linguistic (English–Language based, Non–Mathematical) theories of Deep Learning.
Natural Language Processing Foundation
Exploratory Data Analysis
Linguistics & Semantics – study the background theory on natural language to better understand the Computer Science applications
Pre–processing Data (cleaning)
Regex, Tokenization, Stemming, Lemmatization
The topics outlined below are taught using practical Python projects!
Text Classification & Sentiment Analysis
Unsupervised Sentiment Analysis
Word Embedding with Deep Learning Models
LSTM using TensorFlow, Keras Sequence Model
Convert Speech to Text
Specification: A Complete Natural Language Processing Beginner Masterclass
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