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Unsupervised Learning Algorithms

Track :

Programming

Lessons no : 4

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What will you learn in this course?
  • Identify and implement key unsupervised learning algorithms such as clustering and dimensionality reduction techniques for real-world data analysis
  • Apply data preprocessing and feature engineering methods to improve the effectiveness of unsupervised machine learning models
  • Evaluate and interpret the results of clustering and pattern recognition to extract meaningful insights from unlabeled datasets
  • Utilize unsupervised learning tools and libraries to solve practical problems in data science, marketing, and customer segmentation

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Lessons | 4


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Unsupervised learning, also known as unsupervised machine learning, uses machine learning algorithms to analyze and cluster unlabeled datasets. These algorithms discover hidden patterns or data groupings without the need for human intervention .