Data Science

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

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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