Home AI Courses Unsupervised ML: Customer Market Segmentation

Unsupervised ML: Customer Market Segmentation

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Gain expertise in leveraging machine learning for marketing transformation, applying unsupervised models like PCA and K-Means, understanding the theory behind k-means clustering and PCA, and determining the optimal number of clusters using the elbow method.

Key AI Functions:Artificial Intelligence (AI),Python Programming,Machine Learning,unsupervised machine learning,clustering

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Description for Unsupervised ML: Customer Market Segmentation

Master the art of utilizing machine learning to revolutionize marketing departments and conduct consumer segmentation.

Compile and apply unsupervised machine learning models, including PCA and K-Means, to training data.

Develop an understanding of the theory and intuition that underlie the k-means clustering machine learning algorithm and Principal Component Analysis (PCA).

Discover how to achieve the optimal number of clusters by employing the elbow method.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Coursera Project Network

Duration: 1 hour

Schedule: Hands-on learning

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