Apply logistic/SVM/KNN/tree/Naive Bayes models to targeted Facebook-ad response and Amazon Alexa review sentiment alongside healthcare/spam/other classification examples
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Selected published requirements: “Basic knowledge of Python Programming”. “Experienced computer user”. See the provider page for the full requirements and current tool terms
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Recorded Udemy course advertised with a public course preview. Exact lesson count may be unknown. Purchase or organization-subscription terms and current availability require checking
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Build a customer-review sentiment pipeline and ecommerce review analysis combining entity recognition/topic modeling, with probabilistic features/Naive Bayes and model deployment. Broader NLP foundations accompany the explicit…
12 sections • 56 lectures • 6h 24m total lengthCheck current priceEnglish
Python/JSON practicals apply unsupervised text analysis to YikYak sentiment segmentation and Amazon reviews, with TF-IDF/topic models, BERTopic and text networks
Five modules. Coursera estimates one week at ten hours. Two assignmentsCheck current priceAsk about teaching language