banner

Data Science Natural Language Processing (NLP) in Python

img

Data Science Natural Language Processing (NLP) in Python

Data Science Natural Language Processing (NLP) in Python

In this course you will build MULTIPLE practical systems using natural language processing, or NLP – the branch of machine learning and data science that deals with text and speech. This course is not part of my deep learning series, so it doesn’t contain any hard math – just straight up coding in Python. All the materials for this course are FREE.

After a brief discussion about what NLP is and what it can do, we will begin building very useful stuff. The first thing we’ll build is a cipher decryption algorithm. These have applications in warfare and espionage. We will learn how to build and apply several useful NLP tools in this section, namely, character-level language models (using the Markov principle), and genetic algorithms.

The second project, where we begin to use more traditional “machine learning”, is to build a spam detector. You likely get very little spam these days, compared to say, the early 2000s, because of systems like these.

Next we’ll build a model for sentiment analysis in Python. This is something that allows us to assign a score to a block of text that tells us how positive or negative it is. People have used sentiment analysis on Twitter to predict the stock market.

Get immediately download Data Science Natural Language Processing (NLP) in Python

We’ll go over some practical tools and techniques like the NLTK (natural language toolkit) library and latent semantic analysis or LSA.

Finally, we end the course by building an article spinner. This is a very hard problem and even the most popular products out there these days don’t get it right. These lectures are designed to just get you started and to give you ideas for how you might improve on them yourself. Once mastered, you can use it as an SEO, or search engine optimization tool. Internet marketers everywhere will love you if you can do this for them!

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.

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

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

My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratch

Other courses will teach you how to plug in your data into a library, but do you really need help with 3 lines of code?

After doing the same thing with 10 datasets, you realize you didn’t learn 10 things. You learned 1 thing, and just repeated the same 3 lines of code 10 times…

Suggested Prerequisites:

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

Take my free Numpy prerequisites course (it’s FREE, no excuses!) to learn about Numpy, Matplotlib, Pandas, and Scikit-Learn, as well as Machine Learning basics

Optional: If you want to understand the math parts, linear algebra and probability are helpful

WHAT ORDER SHOULD I TAKE YOUR COURSES IN?:

Check out the lecture “Machine Learning and AI Prerequisite Roadmap” (available in the FAQ of any of my courses, including the free Numpy course)

Who this course is for:

Get immediately download Data Science Natural Language Processing (NLP) in Python

Students who are comfortable writing Python code, using loops, lists, dictionaries, etc.
Students who want to learn more about machine learning but don’t want to do a lot of math
Professionals who are interested in applying machine learning and NLP to practical problems like spam detection, Internet marketing, and sentiment analysis
This course is NOT for those who find the tasks and methods listed in the curriculum too basic.
This course is NOT for those who don’t already have a basic understanding of machine learning and Python coding (but you can learn these from my FREE Numpy course).
This course is NOT for those who don’t know (given the section titles) what the purpose of each task is. E.g. if you don’t know what “spam detection” might be useful for, you are too far behind to take this course.

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

Screen Recording 2020-08-22 at 08.29.22.85 AM

Download Sample files “Data Science Natural Language Processing (NLP) in Python”

Course Requirement: Data Science Natural Language Processing (NLP) in Python
Real Value: $129.9900
One time cost: USD42.0000

Frequently Asked Questions For “Data Science Natural Language Processing (NLP) in Python”

How to make payment for “Data Science Natural Language Processing (NLP) in Python” ?

  • Please add to cart on this page and go to checkout page. You can also add as many other products as you like and make a one-time payment.
  • We accept several type of Stripe payments such as Visa, Mastercard, American Express, Discover, Diners Club, Google Pay, Apple Pay and JCB, payments from customers worldwide. Paypal & Bitcoin please contact us.
  • We strongly recommend our customers to make a payment through StripePaypal . Because it is a safest and super security for you as well as for us.

Is it safe?

  • 100% Secure Checkout Privacy Policy
  • Encryption of sensitive data and communication.
  • All card numbers are encrypted at rest with AES-256 and transmitting card numbers runs in a separate hosting environment, and doesn’t share or save any info.

How can we deliver you the course?

How long do I have access to the course?

How to download “Data Science Natural Language Processing (NLP) in Python” ?

  • Enjoy “Data Science Natural Language Processing (NLP) in Python” in your account page.
  • Download only one file at a time. Sometimes doing all of the files at once will lead to them all freezing.
  • Also, please do not attempt to download to a mobile device. These should be saved to a computer and then synced to devices such as phones and tablets.
  • You can also learn online instead of downloading, but we encourage you to download for better results and viewing quality during your learn. Lastly, download times are much quicker in the mornings, before noon, Pacific time. during download make sure your device is not sleeping off screen.

What is the refund policy “Data Science Natural Language Processing (NLP) in Python”?

  • We’ll Bear The Risk, You’ll Take The Results…
  • Within 30 days of purchased |Data Science Natural Language Processing (NLP) in Python  |, if you don’t get anything out of the program, or if your order has any problem, or maybe for some reason, you just don’t like the way it is. Please contact us and we will do our best to assist. Thank you for your understanding.

Have More Questions?

Our support staff is the best by far! please do not hesitate to contact us at email: [email protected] and we’ll be happy to help!

You want to get “Data Science Natural Language Processing (NLP) in Python” now right?!!!

YES! I’M READY TO ADD TO CART BUTTON ON THIS PAGE NOW !

Original price was: $130.00.Current price is: $37.00.

Get Data Science Natural Language Processing (NLP) in Python immediately when you secure your purchase by clicking on the order button on this page The second project, where we begin to use more traditional "machine learning", is to build a spam detector. You likely get very little spam these days, File Size: 1.8 GB...

Purchase this product now and earn 37 Points!
10 Points = $1