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Clustering and Classification with Mahout

Overview

Skills Needed

Learn to cluster and classify data with Mahout. Explore k-means clustering, decision trees, and ensemble methods with Mahout.

  • Basic knowledge of machine learning concepts
  • Understanding of clustering and classification

Outline

  • Introduction to Clustering and Classification
  • K-means Clustering Algorithm
  • Hierarchical Clustering Methods
  • Density-based Clustering Techniques
  • Decision Trees and Random Forests
  • Support Vector Machines (SVM)
  • Naive Bayes Classification
  • Ensemble Learning Methods
  • Model Evaluation and Validation
  • Best Practices for Clustering and Classification with Mahout

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