NLP - Natural Language Processing with Python

Learn to use Machine Learning, Spacy, NLTK, SciKit-Learn, Deep Learning, and more to conduct Natural Language Processing
4.54 (18936 reviews)
Udemy
platform
English
language
Data Science
category
instructor
NLP - Natural Language Processing with Python
101 028
students
11.5 hours
content
Apr 2023
last update
$24.99
regular price

Why take this course?

🚀 NLP - Natural Language Processing with Python

🎉 Course Headline: "Master Natural Language Processing with Python: From Basics to Advanced Deep Learning!"

📘 Course Title: "NLP - Natural Language Processing with Python: A Comprehensive Online Course"

👩‍🏫 Instructor: Jose Portillac


Course Description:

Are you ready to dive into the world of Natural Language Processing (NLP) and harness the power of Python to analyze, understand, and manipulate human language data? 🧠💬 Then look no further! This is your ultimate guide to becoming proficient in NLP with Python.

Why Choose This Course?

Comprehensive Curriculum: We cover everything from the basics of text processing to advanced deep learning techniques for NLP.

Cutting-Edge Libraries & Tools: Master state-of-the-art libraries like Spacy and NLTK, and tools such as Scikit-Learn, Word2Vec, and more.

Hands-On Learning: With real-world examples and practical exercises, you'll apply your knowledge directly to NLP tasks.

Supportive Community: Join our Q&A forums and live chat channels for collaboration and support from fellow learners and teaching assistants, including instructor Jose Portillac himself! 🤝

What You Will Learn:

  • Text Processing with Python: Work with text and PDF files, and use regular expressions to extract and analyze data.

  • Basic NLP Concepts: Get familiar with stemming, lemmatization, stop words, phrase matching, and tokenization.

  • Advanced NLP Techniques: Perform Part-of-Speech tagging, named entity recognition, and visualize relationships in text data.

  • Machine Learning for NLP: Explore text classification, spam detection, and unsupervised learning methods like topic modelling.

  • Sentiment Analysis & Word Vectors: Learn to analyze opinions with sentiment analysis and create word vectors with algorithms like Word2Vec.

  • Deep Learning in NLP: Build your own chatbots using advanced deep learning techniques. 🤖

Course Features:

  • Step-by-Step Guidance: From the foundational concepts to complex, real-world applications of NLP.

  • Interactive Visualization: Gain insights into NLP with visual tools that make data easier to understand.

  • Practical Projects: Apply your skills through hands-on projects designed to challenge and enhance your learning experience.

  • Access to Resources: Receive a wealth of resources, including code examples, datasets, and reference materials.

  • Risk-Free Learning: Take advantage of our 30-day money-back guarantee to try the course without any risk. 💸

Join Us Today!

Don't miss out on this opportunity to transform your skills in data science and machine learning by specializing in Natural Language Processing with Python. Enroll now, and let's embark on this exciting journey together! 🌟


With the NLP - Natural Language Processing with Python course, you're not just learning a skill—you're unlocking the potential to revolutionize how machines understand and interact with human language. Ready to make an impact? Let's get started! 🚀📚

-Jose Portillac

Course Gallery

NLP - Natural Language Processing with Python – Screenshot 1
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Comidoc Review

Our Verdict

This NLP course provides a solid foundation in natural language processing using popular Python libraries. Although it suffers from a few outdated sections (especially regarding Spacy version 2), the majority of content remains relevant and insightful. Exercises are well-structured and help reinforce understanding, but be prepared for occasional errors arising from library updates. Despite some challenges, this course is an excellent starting point for beginners interested in natural language processing and warrants a strong recommendation. However, consider setting aside extra time to work through any potential issues resulting from outdated materials or fast-paced instruction.

What We Liked

  • Comprehensive coverage of Natural Language Processing (NLP) techniques using Python
  • Uses popular libraries such as Spacy, NLTK, SciKit-Learn, and Deep Learning
  • Includes practical exercises and assessments to reinforce learning
  • Explains complex topics clearly with real-world examples

Potential Drawbacks

  • Some sections are outdated, especially those related to Spacy version 2
  • Final section on chatbots might be too challenging for beginners and requires advanced knowledge
  • A few users reported encountering errors in provided codes due to library updates
  • The pace of instruction can be fast at times, causing the need to rewind
2058283
udemy ID
29/11/2018
course created date
20/11/2019
course indexed date
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