
What you’ll learn
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Design and deploy a complete sentiment analysis pipeline for analyzing customer reviews, combining rule-based and machine learning approaches
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Master text preprocessing techniques and feature extraction methods including TF-IDF, Word Embeddings, and implement custom text classification systems
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Develop production-ready Named Entity Recognition systems using probabilistic approaches and integrate them with modern NLP libraries like spaCy
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Create and train sophisticated language models using Bayesian methods, including Naive Bayes classifiers and Bayesian Networks for text analysis
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Build a comprehensive e-commerce review analysis system that combines sentiment analysis, entity recognition, and topic modeling in a real-world application
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Build and implement probability-based Natural Language Processing models from scratch using Python, including N-grams, Hidden Markov Models, and PCFGs
Can I download NLP in Python: Probability Models, Statistics, Text Analysis course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The NLP in Python: Probability Models, Statistics, Text Analysis course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.