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

πŸš€ Course Headline:
Master the Art of Natural Language Processing (NLP) with Real-World Projects using Leading Libraries! πŸ€–βœ¨


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.

πŸŽ“ Take the first step towards mastering Natural Language Processing. Enroll in this course today and transform your approach to text and speech analysis! πŸš€πŸŽ‰

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