Apply ML to customer value, segmentation and market-basket analysis and build an LLM engagement chat solution within broader pricing, demand and business-data science
Apply ML to customer value, segmentation and market-basket analysis and build an LLM engagement chat solution within broader pricing, demand and business-data science
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An original example for comparing learning plans. Ask whether the course teaches this task, includes practice and offers feedback; the diagram does not describe a provider’s course.
Shared topic: Customer analytics and personalization
Vinay Karode
Implement customer segmentation, social sentiment, ecommerce recommendations, customer lifetime value and association rules within a broader 21-project Python ML portfolio. These outputs differ from the same creator’s retained…
1 section • 21 lectures • 6h 41m total lengthCheck current priceEnglish
Shared topic: Customer analytics and personalization
Simon Sez IT
Study segmentation, propensity, lookalike and customer-value models and apply NLP sentiment analysis to brand monitoring and social campaigns within a broader analytics course
5 sections • 25 lectures • 3h 13m total lengthCheck current priceEnglish