AI & ML
Natural Language Processing with Python
Natural Language Processing with Python Training will take you through the essentials of text processing all the way up to classifying texts using Machine Learning algorithms. You will learn various concepts such as Tokenization, Stemming, Lemmatization, POS tagging, Named Entity Recognition, Syntax Tree Parsing and so on using Python’s most famous NLTK package.
What is NLP with Python Training about?
This training provides a step-by-step guide to Natural Language Processing (NLP) and Text Analytics using Python. With extensive hands-on practice, you'll explore real-world applications of NLP, including Semantic Analysis, Text Processing, Sentiment Analysis, and Machine Learning techniques.
By the end of this course, you will have the skills to build and implement machine learning models for text classification and other NLP tasks.
By the end of this course, you will have the skills to build and implement machine learning models for text classification and other NLP tasks.
What are the objectives of NLP with Python Training ?
By the end of this training, you will be able to:
- Understand the fundamentals of NLP using NLTK (Natural Language Toolkit)
- Process and analyze text data using Python
- Perform Tokenization & Bag of Words modeling
- Utilize n-Gram Models for text analysis
- Apply Latent Semantic Analysis to extract meaningful content from text
- Build sentiment analysis models for real-world applications
- Work with real-time text data and business use cases
- Learn the role of an NLP Engineer and their responsibilities
Who should take this NLP with Python Training?
This training program is ideal for:
- Developers
- Data Analytics Professionals
- Teams working on automatic text-based predictive models
What are the prerequisites for NLP with Python Training?
- Basic Python knowledge
- Understanding of Machine Learning concepts
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