Introduction to Natural Language Processing with PyTorch
Gain practical insights into Natural Language Processing (NLP) with our comprehensive course. Learn to build NLP models using PyTorch, delve into classification models, and apply techniques like bag-of-words, count vectorizer and so on. Perfect for professionals seeking to enhance their skills and aspiring students entering the tech industry.
Who Should Enroll:
Professionals: Expand your skill set with NLP for real-world applications in diverse industries.
Aspiring Students: Master text data analysis and kickstart your career in AI and NLP.
Course curriculum
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1
Introduction to NLP
- What is NLP
- Common tasks in a NLP Project
- NLP Libraries
- Resources for the Course
- Methods of Text Preprocessing - Part 1
- Methods of Text Preprocessing - Part 2
- Methods of Text Preprocessing - Part 3
- Quiz
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2
Building a basic classification model
- Introduction to dataset and problem statement
- Creating a Basic Review Classification Model
- Understanding TF-IDF and its implementations
- Understanding N-grams
- Advanced Preprocessing Techniques
- Building an basic ANN model
- Limitations of ANN
- Quiz
Certificate of Completion
Unlock a lifetime-valid certificate from Analytics Vidhya upon completing the course—your achievement is forever recognized!
Instructor
Apoorv Vishnoi, Head - Training Vertical, Analytics Vidhya
Apoorv is a seasoned AI professional with over 14 years of experience. He has founded companies, worked at start-ups and mentored start-ups at incubation cells.
Key Takeaways from the course
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Acquire practical skills in building NLP models using PyTorch
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Career Readiness: Prepare to apply NLP across industries, equipping yourself for roles in data science, AI, and text analysis with hands-on exercises.