Data Science: Natural Language Processing (NLP) in Python free download

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 and all the materials 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 using genetic algorithms and language modeling with Markov models . We’ll build our own spam detection code in Python.

What you’ll discover in Data Scientific research: All-natural Language Processing (NLP) in Python

  1. Compose your own cipher decryption formula making use of genetic formulas and also language modeling with Markov designs
  2. Write your very own spam detection code in Python
  3. Create your very own view evaluation code in Python
  4. Perform hidden semantic analysis or concealed semantic indexing in Python
  5. Have a suggestion of just how to create your very own write-up spinner in Python

Description

In this training course you will certainly develop MULTIPLE functional systems using natural language processing, or NLP – the branch of machine learning and also information scientific research that deals with message and speech. This training course is not component of my deep knowing collection, so it doesn’t consist of any difficult mathematics – just straight up coding in Python. All the products for this program are FREE.

After a short conversation about what NLP is and what it can do, we will begin developing really beneficial things. The very first point we’ll develop is a cipher decryption algorithm. These have applications in war and reconnaissance. We will certainly find out exactly how to build and use numerous valuable NLP tools in this section, specifically, character-level language models (utilizing the Markov concept), as well as genetic algorithms.

The second task, where we begin to make use of more standard “machine learning”, is to construct a spam detector. You likely obtain really little spam nowadays, contrasted to claim, the early 2000s, as a result of systems like these.

Who this course is for:

  • 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.
File Name :Data Science: Natural Language Processing (NLP) in Python free download
Content Source:udemy
Genre / Category:Data Science
File Size :3.38 gb
Publisher :Lazy Programmer Inc.
Updated and Published:07 Jul,2022

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File name: Data-Science-Natural-Language-Processing-NLP-in-Python.rar
File Size:3.38 gb
Course duration:6 hours
Instructor Name:Lazy Programmer Inc.
Language:English
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