Master Language Models, Hidden Markov Models, Bayesian Methods & Sentiment Analysis for Real-World Applications
Sub Category
- Data Science
{inAds}
Objectives
- Design and deploy a complete sentiment analysis pipeline for analyzing customer reviews, combining rule-based and machine learning approaches
- Master text preprocessing techniques and feature extraction methods including TF-IDF, Word Embeddings, and implement custom text classification systems
- Develop production-ready Named Entity Recognition systems using probabilistic approaches and integrate them with modern NLP libraries like spaCy
- Create and train sophisticated language models using Bayesian methods, including Naive Bayes classifiers and Bayesian Networks for text analysis
- Build a comprehensive e-commerce review analysis system that combines sentiment analysis, entity recognition, and topic modeling in a real-world application
- Build and implement probability-based Natural Language Processing models from scratch using Python, including N-grams, Hidden Markov Models, and PCFGs
Pre Requisites
- Basic Python programming experience - familiarity with functions, loops, and data structures. No advanced Python knowledge required.
- Understanding of basic probability and statistics concepts (mean, variance, distributions). High school level math is sufficient.
- A computer with Python 3.7+ installed. All required libraries will be covered in the setup section of the course.
- Basic understanding of data structures and algorithms. If you can work with lists and dictionaries in Python, you're ready.
- No prior Natural Language Processing or Machine Learning experience needed - we'll build from the ground up.
- Complete beginners welcome! Each concept is explained step-by-step with practical examples and guided projects. These requirements: Set realistic expectations Keep the barrier to entry low Specify exact technical needs Encourage beginners to join Highlight the course's supportive approach Would you like me to adjust any of these requirements to better match your target audience? CopyRetryClaude can make mistakes. Please double-check responses.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
{inAds}
Coupon Code(s)