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Mastering Unsupervised Learning with Python

Track :

Programming

Lessons no : 3

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What will you learn in this course?
  • Identify and implement key unsupervised learning algorithms such as clustering and principal component analysis using Python and scikit-learn
  • Analyze unlabeled data to discover hidden patterns and structures with practical unsupervised learning techniques in Python
  • Apply data preprocessing, feature scaling, and dimensionality reduction methods to enhance unsupervised learning models in Python
  • Evaluate and interpret the results of unsupervised learning models to extract meaningful insights from complex datasets

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Lessons | 3


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fizza tehreem

This course is very informative and helping material for data science
2025-01-31

Ahmed Babacar SARR

Nice courses
2024-10-21

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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 .