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 have completed the course, covering both the theoretical as well as the practical parts of each of the topics. If you believe that you have understood each and every lesson and concept and have read the supplemental reading materials, then we suggest taking this final exam to validate your understanding.

This is the final exam. Try your best to pass the exam and validate your skills. All the best!

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

Take the Exam!