Interested in the field of Natural Language Processing  (NLP)? Then this course is for you!

This course has been designed by a software engineer. I hope with the experience and knowledge I did gain throughout the years, I can share my knowledge and help you learn complex theories, algorithms, and coding libraries in a simple way.

I will walk you step-by-step into the transformer which is a very powerful tool in Natural Language Processing. With every tutorial, you will develop new skills and improve your understanding of transformers in Natural Language Processing.

This course is fun and exciting, but at the same time, we dive deep into transformer. Throughout the brand new version of the course, we cover tons of tools and technologies including:

• Deep Learning.

• Google Colab

• Keras.

• Matplotlib.

• Splitting Data into Training Set and Test Set.

• Training Neural Network.

• Model building.

• Analyzing Results.

• Model compilation.

• Make a Prediction.

• Testing Accuracy.

• Confusion Matrix.

• Numpy.

• Pandas.

• Tensorflow.

• Chunking

• Bag of Words

• Hugging Face transformer

• POS tagging

• TF-IDF

• GPT-2

• Token Classification

• BERT

• Stemming

• Lemmatization

• NER

• Preprocessing data.

• Attention

• Fine-tuning

Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. There are several projects for you to practice and build up your knowledge. These projects are listed below:

• Gender Identification.

• Sentiment Analyzer.

• Topic Modelling

• IMDB Project.

• QA project.

• Text generation project.