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Natural language processing with Python

Natural language processing with Python

$9.99

$109.99

The "Natural Language Processing with Python" course offers an in-depth exploration of NLP techniques using Python. Covering key topics such as text preprocessing, sentiment analysis, topic modeling, and named entity recognition, this course leverages powerful libraries like NLTK, spaCy, and transformers to analyze and extract insights from textual data. Designed for those eager to delve into NLP, the course provides practical, hands-on experience with real-world applications, equipping you with the skills to tackle various language processing challenges effectively.

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Has discount
Expiry period Lifetime
Made in English
Last updated at Mon Jul 2024
Level
Beginner
Total lectures 27
Total quizzes 0
Total duration 12:03:47 Hours
Total enrolment 93
Number of reviews 18
Avg rating
Short description The "Natural Language Processing with Python" course offers an in-depth exploration of NLP techniques using Python. Covering key topics such as text preprocessing, sentiment analysis, topic modeling, and named entity recognition, this course leverages powerful libraries like NLTK, spaCy, and transformers to analyze and extract insights from textual data. Designed for those eager to delve into NLP, the course provides practical, hands-on experience with real-world applications, equipping you with the skills to tackle various language processing challenges effectively.
Outcomes
  • Proficiency in Text Preprocessing: Master techniques for cleaning and preparing text data for analysis.
  • Effective Sentiment Analysis: Develop models to classify and analyze sentiments expressed in text.
  • Insightful Topic Modeling: Utilize topic modeling methods to extract themes and patterns from text data.
  • Accurate Named Entity Recognition: Implement techniques to identify and classify named entities in text.
  • Advanced NLP Skills: Apply advanced NLP models and libraries to perform complex language processing tasks.
Requirements

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