Natural Language Processing Bootcamp in Python

Learn the fundamentals of Text Mining and NLP using Text Processing, NLTK, Sentiment Analysis and Neural Networks

What you’ll learn
Dealing with Strings in Python
Working with the Natural Language Toolkit Library
Understanding the Intuition behind Word Vectors
Pre-Processing Text for Analytics
Understanding Text Vectorization
Train a Neural Network to generate Word Embeddings
Obtain Text Data from Web Pages
Read Files with Textual Data
Developing a Sentiment Analysis Tool
Train a Machine Learning Model

Requirements
Internet Access
Computer with at least 4 GB of RAM

Description
Welcome aboard your inaugural voyage into the vibrant world of Natural Language Processing (NLP) and Text Mining!
This course offers a risk-free foray (backed by a 30-day refund policy) into the fundamental concepts that serve as the bedrock for the text data operations of tech giants like Google, Amazon, and Microsoft.
Text mining has become a cornerstone of modern Data Science and Analytics. The profound leap in technology that allows a machine to understand words and phrases has revolutionized tasks like Information Retrieval, Translation, and Text Classification. I’m here to help you navigate these waters and jump from the foundational aspects of classical NLP into the misterious realms of Generative AI Tools (such as ChatGPT).
Our journey will take us from the classical to the neural, exploring the evolution of language processing techniques. We’ll begin with traditional statistical methods and work our way up to the cutting-edge world of deep learning and neural networks. By linking theory with practical exercises, I hope to guide you through the NLP World.
Don’t fret if Python isn’t your forte yet – included in this course is a crash course in Python that will acquaint you with the language and provide the necessary foundation for the rest of the topics we’ll cover.
The course will illuminate a variety of key NLP concepts including
Manipulating the basic building blocks of NLP – strings – in Python;
Tokenizing Sentences and Documents;
Stemming and Lemmatizing words;
Training machine learning models using text;
Extracting the Part-of-Speech Tag from words in a sentence;
Extracting Text Data from a Web Page;
Training a Neural Network to extract Word Embeddings;
Developing your own sentiment classifier (Sentiment Analysis);
Representing Sentences as Tabular Data;
Upon completing this course, you’ll be equipped with the skills to construct your own basic NLP applications, and you’ll have a strong understanding of the fundamental concepts underlying most NLP algorithms. This knowledge will open doors to more advanced studies in NLP, while providing an understanding of the strategies and techniques utilized by companies when launching their NLP applications.
Embark on this exhilarating journey through the world of NLP with me. Whether you’re a newcomer or an expert seeking to broaden your horizons, there’s a place for you here.
I’m eagerly looking forward to our adventure together in the course!
Who this course is for
Beginner Python Developers
Experienced Python Developers Interested in learning NLP
Data Engineers
Data Scientists
Business Analysts