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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Explore the Unsupervised Learning Course Catalog

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    5.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Multiple educators

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    37K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    Status: Preview

    Packt

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Generative AI, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering, Predictive Modeling, Supervised Learning, Unsupervised Learning, Data Transformation, NumPy

    Intermediate · Course · 3 - 6 Months

  • Status: New
    Status: Preview

    EDUCBA

    Skills you'll gain: Unsupervised Learning, Microsoft Excel, Excel Formulas, Scatter Plots, Data Visualization, Data Analysis, Data Manipulation, Feature Engineering, Data Validation

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    Status: Free Trial

    University of Michigan

    Skills you'll gain: Unsupervised Learning, Anomaly Detection, Supervised Learning, Python Programming, Exploratory Data Analysis

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial

    IBM

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Computer Vision, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, PySpark, Keras (Neural Network Library), Supervised Learning, Image Analysis, Reinforcement Learning, Regression Analysis, LLM Application, Scikit Learn (Machine Learning Library), Deep Learning, Applied Machine Learning, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    21K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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  • Status: Free Trial

    IBM

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Big Data, NumPy, Data Analysis, Algorithms, Natural Language Processing, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    344 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    Google

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    568 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial

    IBM

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Python Programming, Statistical Analysis, Classification And Regression Tree (CART), Feature Engineering

    4.7
    Rating, 4.7 out of 5 stars
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    Packt

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Machine Learning, Classification And Regression Tree (CART)

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Data Science, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Algorithms, Linear Algebra, Exploratory Data Analysis, NumPy, Statistical Analysis

    Build toward a degree

    3.8
    Rating, 3.8 out of 5 stars
    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    Status: Preview

    Northeastern University

    Skills you'll gain: Small Data, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Statistical Machine Learning, Unsupervised Learning, Tensorflow, Machine Learning, Generative AI, Data Synthesis, Supervised Learning, Artificial Intelligence, Computer Vision

    Mixed · Course · 1 - 3 Months