Natural Language Processing



Text and Speech analysis projects with Huggingface transformers, Tensorflow hub , Textblob and NLP Libraries .

What you will learn

Natural Language Processing : Token, Tagging and Stemming.

NLP Modelling and Testing.

Transformers-Hugging face.

Textblob

Tensorflowhub

Text Analysis with Natural language Processing.

Speech Analysis with Natural language Processing.

Why take this course?

🌟 Course Title: Text and Speech Analysis Projects with Huggingface Transformers, TensorFlow Hub & TextBlob

🚀 Course Headline:
Master the Art of Natural Language Processing (NLP) with Real-World Projects using Leading Libraries! 🤖✨


Unlock the Secrets of NLP with Expert Guidance!

In this comprehensive online course, ‘Natural Language Processing: From Basics to Advanced Projects’, you will embark on an exciting journey through the world of natural language processing. Whether you’re a beginner or an experienced data scientist, this course is designed to take your NLP skills to the next level by focusing on hands-on projects and practical applications using state-of-the-art libraries like Huggingface Transformers, TensorFlow Hub, and TextBlob.

What You’ll Learn:

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  • NLP Fundamentals: Understand the core concepts of natural language processing and how it has evolved over the years.
  • Building NLP Models: Learn to develop both trained and pre-trained models suitable for a variety of text analysis tasks.
  • Working with NLP Libraries: Dive deep into using libraries such as:
    • Huggingface Transformers: Leverage the power of transformer models for a wide range of NLP tasks.
    • TensorFlow Hub: Explore pre-trained TensorFlow models that you can use and fine-tune on your data.
    • TextBlob: Utilize this Python library for processing textual data and performing common NLP tasks.
  • Developing Text and Speech Analysis Models: Start with basic models and progress towards more complex applications in text and speech analysis.

Why This Course?

  • Practical Approach: Engage with real-world projects that showcase the application of NLP in various domains, such as sentiment analysis, language translation, and more.
  • Cutting-Edge Techniques: Get hands-on experience with the latest tools and methodologies in NLP, ensuring your skills are up-to-date and employable.
  • Expert Instruction: Learn from an industry expert like Abhinav Raj, who will guide you through each step of the course with clarity and depth.
  • Community Engagement: Join a community of peers to collaborate, share insights, and grow together.

Course Highlights:

  • Neural Networks in NLP: Explore how neural networks have revolutionized natural language processing, moving from rule-based systems to end-to-end learning models.
  • From Hand-Written Rules to Machine Learning: Understand the historical shift from Chomskyan theories of linguistics to corpus linguistics and machine learning approaches in NLP.
  • Neural Machine Translation (NMT): Discover how neural networks have transformed the field of machine translation with end-to-end models that eliminate the need for intermediate steps like word alignment.

By the End of This Course:

You will not only have a solid understanding of NLP and its libraries but also be equipped to apply your knowledge to real-world problems. You’ll be ready to tackle text and speech analysis with confidence, using cutting-edge tools like Huggingface Transformers and TensorFlow Hub.

🎓 Take the first step towards mastering Natural Language Processing. Enroll in this course today and transform your approach to text and speech analysis! 🚀🎉

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