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
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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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
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
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