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Natural Language Processing(NLP) with Python in 5 easy steps

Natural Language Processing(NLP) with Python in 5 easy steps
Link : new udemy course Natural Language Processing(NLP) with Python in 5 easy steps
Introduction. ...
Step 1-Read and write text files in Python,different text methods and f string. ...
Step 2-Regular expressions in Python,learn how to install NLTK and Spacy. ...
Test 1- Questions for Steps 1-2. ...
Step 3-Tokenization,Lemmatization,POS,Sentences,NER and displacy. ...
Step 4-Build text classification model.NEW
by Zlatko Lazarevski

What you'll learn
  • Read a text file in Python
  • Write a file in Python
  • Different text methods
  • F string literals and string formatting
  • Regular expressions
  • Tokenization
  • Lemmatization
  • Part Of Speech
  • NER(Named Entity Recognition)
  • Detecting and indexing sentences
  • Displacy
  • Build a text classification model using scikit-learn
  • Sentiment analysis using NLTK
Description
Welcome to the course "Natural Language Processing(NLP) with Python in 5 easy steps"

  • The goal of this course is to get you up to speed very fast with NLP using Python.
  • The course is structured in 5 main steps+2 sections reserved for testing your knowledge.
In step 1 you will learn how to read and write text files in Python,different text methods and f string literals.

Exercises in the first step involve:
  1. -Reading the text file of the book "Alice in Wonderland" in Python
  2. -Text transformations using different text methods
  3. -Creating a login program using conditionals and f string literals

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