A Complete Natural Language Processing Beginner Masterclass

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

Part–of–Speech Tagging

The topics outlined below are taught using practical Python projects! 

Text Classification & Sentiment Analysis

Unsupervised Sentiment Analysis

Topic Modelling

Word Embedding with Deep Learning Models

LSTM using TensorFlow, Keras Sequence Model

Speech Recognition

Convert Speech to Text