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Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R

Build ML models across domains, including association-rule market-basket analysis and reinforcement-learning CTR optimization, broad technical prerequisites and non-marketing models remain explicit

Kirill Eremenko , Hadelin de Ponteves , SuperDataScience Team , Ligency ​ · Udemy

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Build ML models across domains, including association-rule market-basket analysis and reinforcement-learning CTR optimization. Broad technical prerequisites and non-marketing models remain explicit

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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

Learning decision: Frame one business question; make A report with an interpretation; check Data quality, uncertainty and competing explanations.
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.

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Marketing focus

Market Basket Analysis in Python

DataCamp

Four chapters (15 videos, 52 exercises) teach Apriori association rules and support, confidence, lift, conviction and related metrics, with interactive cross-selling/recommendation tasks for grocery, library, e-book, novelty retail and…

Intermediate Python, four hours. 15 videos and 52 interactive exercises. Prerequisite: Data Manipulation with pandasCheck current priceAsk about teaching language
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Related skills

Recommender Systems and Deep Learning in Python

Lazy Programmer Inc. , Lazy Programmer Team

Implement collaborative filtering, matrix factorization, neural models and ranking using NumPy/Keras/TensorFlow/Spark, broad technical recommender course is adjacent to personalization marketing

15 sections • 94 lectures • 12h 49m total lengthCheck current priceEnglish
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Related skills

NLP in Python: Probability Models, Statistics, Text Analysis

Meta Brains , Skool of AI

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
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