Natural Language Processing with Real-World Projects

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Want to become an expert NLP engineer and a data scientist? Then this is the right course for you. In this course, we will be covering complex theory, algorithms, and coding libraries in a very simple way that can be easily grasped by any beginner as well.

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206 on-demand videos & exercises
Level: Beginner
31hrs 19mins
Access on mobile, web and TV

What to know about this course

You will learn how machines can be trained to make sense of the language humans use to interact. You will come across many NLP algorithms that teach computational models about lexical processing and basic syntactic processing. You will learn the mechanism that Google Translator uses, to understand the context of language and convert to a different language. You will build a chatbot using an open-source tool, Rasa, which is a text- and voice-based conversation that understands messages, holds conversations, and connects to messaging channels and APIs. You will also learn to train the model you have created on NLU. The machine cannot be trained to understand or process data by traditional hand-coded programs that rely heavily on very specific conditions. The moment there is a change in input, the hand-coded program is rendered useless. So, rather than having to code possible conversations, we require a model that enables the system to make sense of context. Prior knowledge of machine learning and deep learning is beneficial; if not, we have covered all required prerequisites in the course itself.

By the end of the course, you will be able to build NLP models that can summarize blocks of text to extract the most important ideas, sentiment analysis to extract the sentiments from a given block of text and identify the type of entity extracted. All the projects included in this course are real-world projects. All the codes and supporting files for this course are available at:

Who's this course for?

Students looking to start a career in data science, working professionals with some acquaintance with deep learning, developers looking to create chat-bots, work on Alexa, and Google Home projects will benefit from this course.

What you'll learn

  • Introduction to NLP, Regex, and lexical processing.
  • Learn basic, intermediate, and advanced syntactic processing.
  • Implement syntactic processing in a real-world project.
  • Learn the probabilistic approach.
  • Learn how to implement parsing in NLP Learn about the CFG/PCFG grammar model.

Key Features

  • Master Natural Language Processing using Python.
  • Master machine learning in Python.
  • Build a foundation for Python, machine learning, and deep learning in the prerequisite section.

Course Curriculum

About the Author

Geekshub Pvt. Ltd.

Geekshub is an online education company in the field of big data and analytics. Their aim as a team is to provide the best skill-set to their customers to make them job-ready and prepare them to crack any challenge. They have the best trainers for cutting-edge technologies such as machine learning, deep learning, Natural Language Processing (NLP), reinforcement learning, and data science. Their instructors are people who graduated from IIT, MIT and Standford. They are passionate about teaching the topics using curated real-world case studies that calibrate the learning experience of students.

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