AI Marketing Courses

Marketing focus

Unsupervised Learning and Its Applications in Marketing

Python marketing workflows cover k-means, hierarchical and DBSCAN segmentation, PCA, t-SNE and autoencoders, anomaly detection, association mining, semi-supervised methods, and recommender systems

O.P. Jindal Global University · Coursera

Inside the course

What you’ll cover

Python marketing workflows cover k-means, hierarchical and DBSCAN segmentation. PCA, t-SNE and autoencoders. Anomaly detection. Association mining. Semi-supervised methods. And recommender systems

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