Clustering, Errors, & Validation

Data Science    |    Beginner
  • 10 videos | 33m 17s
  • Includes Assessment
  • Earns a Badge
Rating 4.3 of 35 users Rating 4.3 of 35 users (35)
Machine learning is a particular area of data science that uses techniques to create models from data without being explicitly programmed. Examine clustering, errors, and validation in machine learning.

WHAT YOU WILL LEARN

  • Describe k-means clustering
    Define cluster validation
    Define principal component analysis
    Describe machine learning errors
    Describe underfitting
  • Describe overfitting
    Apply k-folds cross validation
    Describe fall-forward and back-propagation in neural networks
    Describe svms and their use
    Choose the appropriate machine learning method for the given example problems

IN THIS COURSE

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