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Unsupervised with Python

Track :

Programming

Lessons no : 5

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What will you learn in this course?
  • Identify and implement clustering algorithms like K-means and hierarchical clustering using Python for pattern discovery in unlabeled data
  • Apply principal component analysis (PCA) techniques in Python to reduce data dimensionality and visualize complex datasets
  • Evaluate the effectiveness of different unsupervised learning methods to uncover hidden data structures and relationships
  • Utilize Python libraries such as scikit-learn and pandas to preprocess data, perform unsupervised learning, and interpret results

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Lessons | 5

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Unsupervised learning is a machine learning algorithm that searches for previously unknown patterns within a data set containing no labeled responses and without human interaction. The most prominent methods of unsupervised learning are cluster analysis and principal component analysis