What you'll learn
Learn the basics of Natural Language Processing
Explore the steps of developing NLP projects
Describe the process webscrpaing, sentiment analysis, language analysis
Develop and deploy machine learning models for NLP
Learn Spark, Tensor flow, Apache, Parsing, Tokenizing and many more

Description
An astounding amount of unstructured text data is generated every day by the internet, social media platforms, and a variety of other sources. To harness the real value of such large volume of textual data, it is absolutely necessary to have the skills to turn messy texts into powerful insights. Python is a great tool through which we can process the language and translate easily using a variety of packages. Welcome to this practical course on Natural Language Processing using Python. If you have some experience with Python and an interest in natural language processing (NLP), this course can provide you with the knowledge you need to tackle complex problems using machine learning.

The trainer in this course is - Dr. Mostafa Sheikh who is a Senior Data Scientist with over 20 years of hands on experience on AI, ML and NLP. In this very hands on course Dr. Mostafa begins with a quick review of foundational NLP concepts, including how to clean text data and build a model on top of vectorized text. He then jumps into more complex topics such as Spark NLP, Webscraping, Parsing, Tensor flow. To wrap up the course, he lends these concepts a real-world context by showing how to develop and deploy machine learning problems.

The course is brought to you by HotCubator academy, a think tank of data and research based in Australia.

Who this course is for:
Python programmers
Data Analysts
Data Scientists