Get hands-on experience in NLP with challenging applications.

Mastering Natural Language Processing

In this module, we’ll learn advanced deep learning concepts and practice building some advanced deep learning and natural language processing (NLP) projects. By the end, we’ll be able to utilize deep learning algorithms used at large in the industry. This is a project-based module with 12 projects in total. This will get us used to building real-world applications that are being used in a wide range of industries. We’ll be exposed to the most common tools used for machine learning projects, including NumPy, Matplotlib, scikit-learn, Tensorflow, and more.
Once we’re finished, we’ll have the experience to start building our amazing projects and some great new additions to our portfolio.

Building Advanced Deep Learning and NLP Projects

We discussed the theoretical as well as practical concepts of Markov chains. Now you must check your understanding by attempting the quiz below.


This is a short quiz on Markov chains. This quiz will ensure that you have a solid understanding of the topics we learned in this chapter.

Project: Build a COVID-19 Detection System Using X-Rays

Project: Building a Pokemon Classifier Using Transfer Learning

Project: Text Generation Using Markov Chains

Word Embedding: Two Mini Projects

Project: IMDB Reviews Sentiment Analysis

Project: Deciphering Text Using Character-Level RNNs

Project: Emoji Predictor Using Transfer Learning in NLP

Final Exam

Where to Go Next?

Conslusion

Pop Quiz!