Unsupervised Learning

Unsupervised Learning is a type of machine learning that uses algorithms to analyze and cluster unlabeled data. Coursera's Unsupervised Learning catalogue teaches you how to implement this self-guided learning method to discover hidden patterns and correlations in raw, unclassified data. You'll learn about various unsupervised learning models including clustering, anomaly detection, neural networks, and dimensionality reduction. Gain knowledge about the different methods of data analysis, understand how to use clustering and association techniques, and master the art of interpreting and visualizing complex datasets. This skill will enable you to make predictions, enhance data privacy, and implement machine learning models more effectively.
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189courses

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Explore the Unsupervised Learning Course Catalog

  • Pontificia Universidad Católica de Chile

    Skills you'll gain: Predictive Analytics, Unsupervised Learning, Data Cleansing, Data Visualization, Exploratory Data Analysis, Supervised Learning, Matplotlib, Dimensionality Reduction, Data Science, Descriptive Analytics, Data Analysis, Pandas (Python Package), Predictive Modeling, Visualization (Computer Graphics), Data-Driven Decision-Making, Time Series Analysis and Forecasting, Machine Learning Algorithms, Statistical Machine Learning, Data Visualization Software, Statistical Visualization

    Credit offered

    Mastertrack · 6 - 12 Months

  • University of London

    Skills you'll gain: Virtual Reality, Mobile Development, Human Computer Interaction, Agile Software Development, Animations, Data Ethics, Event-Driven Programming, Game Design, Git (Version Control System), Web Applications, Incident Response, Data Science, Natural Language Processing, Computational Logic, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Full-Stack Web Development

    Credit offered

    Graduate Certificate · 6 - 12 Months

  • Pontificia Universidad Católica de Chile

    Skills you'll gain: Revenue Management, Database Design, Diagnostic Tests, Customer Analysis, Descriptive Analytics, FinTech, Unsupervised Learning, Social Network Analysis, People Analytics, Public Key Infrastructure, Predictive Analytics, Statistical Reporting, Social Determinants Of Health, Gerontology, Data Visualization, Risk Analysis, Time Series Analysis and Forecasting, Bayesian Statistics, Digital Transformation, Spatial Data Analysis

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    Degree · 1 - 4 Years

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