Complete Machine Learning & Data Science with Python| ML A-Z
Build a customer-segmentation clustering project in four lessons/33 minutes after Python data preparation and ML fundamentals, broader data science is adjacent
Build a customer-segmentation clustering project in four lessons/33 minutes after Python data preparation and ML fundamentals. Broader data science is adjacent
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Selected published requirements: “No previous programming experience needed”. 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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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
Build a positive/negative review classifier in a ten-lesson/79-minute project after Python/NumPy/pandas/ML/TensorFlow foundations, the whole course counts once and is adjacent technical training
7 sections • 105 lectures • 16h 37m total lengthCheck current priceEnglish
Prepare and evaluate k-means, hierarchical and DBSCAN clusters, then complete an ecommerce customer-segmentation project, broader unsupervised ML supports the marketing application
11 sections • 52 lectures • 4h 53m total lengthCheck current priceEnglish