Udemy – Data Science: Natural Language Processing (NLP) in Python 2019-12

Description

Data Science: Natural Language Processing (NLP) in Python is the name of a course from Udemy that teaches you how to process natural languages in Python. Natural language processing, or NLP, is a branch of machine learning and data science that deals with the interaction between computer language and humans. In this course you will learn how to design multiple application systems using NLP so that you can process spoken and written language by computer.

At the beginning of this course, after explaining NLP and getting acquainted with its applications, the course instructor will teach you how to make useful tools in Python. He first explains how to create a spam detector so you can find and delete spam messages. You will then learn how to build an emotional analysis model and use it to assign a score to your writing. You will learn the tools and techniques of the NLTK library, and finally you will learn how to create an article spinner in Python.

Items that will be taught in this course

Familiarity with natural language processing (NLP) and its applications

Design of application systems using NLP

Build Python Spam Detector

Build a model of emotional analysis and semantic analysis

Made article spinner

Perform hidden emotional analysis in Python

Data Science: Natural Language Processing (NLP) course in Python on 2020/4

English language

Duration: 09:32:39

Number of lessons: 76

Level of education: Intermediate

Instructor: Lazy Programmer Inc.

File format: mp4

Course topics on 2020/4

Course content 76 lectures 09:32:39

Natural Language Processing – What is it used for? 4 lectures 16:05

Course Preparation 3 lectures 08:40

Decrypting Ciphers 13 lectures 01:29:02

Build your own spam detector 10 lectures 01:02:52

Build your own sentiment analyzer 7 lectures 01:00:00

NLTK Exploration 4 lectures 09:18

Latent Semantic Analysis 5 lectures 44:23

Write your own article spinner 6 lectures 37:07

How to learn more about NLP 1 lecture 02:45

Machine Learning Basics Review 11 lectures 01:33:58

Appendix / FAQ 12 lectures 02:28:28

Prerequisites for Data Science: Natural Language Processing (NLP) in Python

Install Python, it’s free!

You should be at least somewhat comfortable writing Python code

Install numerical libraries for Python such as Numpy, Scipy, Scikit-learn, Matplotlib, and BeautifulSoup

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

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

Changes:

The 2019/12 version has increased by about 500 MB compared to the 2018/10 version.