Data Science Natural Language Processing (NLP) in Python

After a brief explanation of NLP and what it can accomplish, we’ll start building very useful stuff. We will start with a cipher-decryption algorithm. File Size: 1.8 Gb

Data Science Natural Language Processing (NLP) in Python

You will learn how to create multiple practical systems with natural language processing or NLP – a branch in machine learning and data science that deals directly with text and spoken speech. This course is not part my deep learning series. Therefore, it does not contain hard math. in Python. All materials are provided for free.

After a brief explanation of NLP and what it can accomplish, we’ll start building very useful stuff. A cipher decryption method will be the first thing that we build. These algorithms have many applications in Espionage and warfare. Learn how to create and use several useful NLP tools in This section includes character-level languages models (using Markov principle), as well as genetic algorithms.

We move on to the second project. “machine learning”To build a spam detector. Because of systems such as these, you will likely receive very little spam today, compared with the early 2000s.

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Next, we’ll create a model of sentiment analysis in Python. This allows us to give a score to any block of text, indicating how positive or negatively it is. Twitter sentiment analysis has been used by people to predict the stock markets.

We will discuss some of the practical tools and techniques such as the NLTK (naturally language toolkit) library, and latent semantic analysis (LSA).

The course ends with the creation of an article spinner. This is a challenging problem, and even the best products don’t always solve it correctly. These lectures are meant to get you started, and give you ideas on how to improve them. Once you have mastered it, you can use the tool as an SEO or search engine optimization (SEO) tool. Internet marketers around the world will be grateful that you are able to do this!

This course focuses on “how to build and understand”It’s not only about “how to use”. Anyone can learn how to use an API in 15 minutes after reading some documentation. It’s not about. “remembering facts”It’s all about “seeing for yourself” via experimentation. It will show you how to visualize what is happening in The model internally. This course will give you a deeper understanding of machine learning models.

“If you can’t implement it, you don’t understand it”

Or, as Richard Feynman, the great physicist, said: “What I cannot create, I do not understand”.

My courses are unique in that you learn how to implement machine-learning algorithms from scratch.

You can also learn how to plug in with other courses in Your data is already in a library. Do you really need to know 3 lines code?

You discover that you didn’t learn all 10 things after doing the same thing for 10 datasets. It was one thing that you learned, but you only repeated the same three lines of code 10 more times.

Recommended Prerequisites

Python coding: if/else, loops, lists, dicts, sets

You can take my Numpy prerequisites free course. It’s absolutely FREE. Learn about Numpy and Machine Learning basics.

Optional: Linear algebra and probability can be helpful if you are looking to understand the math parts.

WHAT ORDER SHOULD YOUR COURSES BE TAKEN IN?:

Take a look at the lecture “Machine Learning and AI Prerequisite Roadmap” (available in The FAQ for any of my courses (including the free Numpy course).

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Who is this course for?

Comfortable writers are students who enjoy writing Python code, using loops, lists, dictionaries, etc.
Students who don’t like math but want to learn more on machine learning.
Professionals who are interested in Machine learning and NLP can be applied to problems such as spam detection, Internet Marketing, and sentiment analysis.
This course is NOT recommended for people who do not find the tasks or methods described in this course interesting. in Too basic.
This course is not for people who do not already have an understanding of machine learning. Python You can also learn coding from my Numpy course.
This course is not intended for those who don’t know the purpose of each task. E.g. If you don’t know what, “spam detection” You are too far behind to consider this course, but it might be of some use.

Here’s What You Will Get in Data Science Natural Language Processing (NLP) in Python