Learn about every thing in AI by understanding concepts and building real projects!
This course is a part of a series of courses specialized in artificial intelligence :
This course is focusing on NLP :
In this course, we are going to learn about natural language processing. We will discuss various concepts such as tokenization, stemming, and lemmatization to process text. We will then discuss how to build a Bag of Words model and use it to classify text. We will see how to use machine learning to analyze the sentiment of a given sentence. We will then discuss topic modeling and implement a system to identify topics in a given document.we will start with simple problems in NLP such as :Tokenization Text , Stemming , Lemmatization , Chunks , Bag of Words model.and we will build some real world projects such as :
This course focuses on “how to build and understand“, not just “how to use”. Anyone can learn to use an API in 15 minutes after reading some documentation. It’s not about “remembering facts”, it’s about “seeing for yourself” via experimentation. It will teach you how to visualize what’s happening in the model internally. If you want more than just a superficial look at machine learning models, this course is for you.
TIPS (for getting through the course):
You don’t know anything about NLP ? let’s break it down!
I am always available to answer your questions and help you along your data science journey.See you in class!
NOTICE that This course will be modified and I will add new content and new concepts from one time to another, so stay informed! 🙂