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  • Unsupervised Learning

Unsupervised Learning Courses

Unsupervised learning courses can help you learn clustering techniques, dimensionality reduction, and anomaly detection. You can build skills in data preprocessing, feature extraction, and interpreting complex datasets. Many courses introduce tools like Python libraries such as Scikit-learn and TensorFlow, that support implementing these methods in projects. You'll also explore practical applications in areas like customer segmentation, image processing, and recommendation systems, enhancing your ability to derive insights from unlabelled data.

Popular Unsupervised Learning Courses and Certifications


  • Status: Top AI Program
    Top AI Program
    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Machine Learning Methods, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Data Science, Data Manipulation, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    O

    O.P. Jindal Global University

    Unsupervised Learning and Its Applications in Marketing

    Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Autoencoders, Data-Driven Marketing, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Supervised Learning, Python Programming, Algorithms

    Beginner · Course · 1 - 3 Months

  • Status: Top AI Program
    Top AI Program
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Scikit Learn (Machine Learning Library), Deep Learning, Data Science, Machine Learning, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.7K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    641 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Transfer Learning Foundations for AI Models

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Large Language Modeling, Machine Learning Methods, Computer Vision, Data Science, Artificial Intelligence, Applied Machine Learning, NumPy, Pandas (Python Package), Python Programming, Natural Language Processing, Supervised Learning, Feature Engineering, Machine Learning, Predictive Modeling, Data Analysis, Data Visualization

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    J

    John Wiley & Sons

    Core Machine Learning Algorithms and Model Validation

    Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Model Training, Applied Machine Learning, Deep Learning, Machine Learning Methods, Machine Learning Software, Statistical Modeling, Predictive Modeling, Supervised Learning, Machine Learning, Python Programming, Unsupervised Learning, Data Science, Predictive Analytics, Data Preprocessing, Algorithms, Data Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    J

    John Wiley & Sons

    Machine Learning: Real-World Applications

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Data Ethics, Image Analysis, AI Personalization, Model Training, Convolutional Neural Networks, Model Optimization, Machine Learning, Applied Machine Learning, Feature Engineering, Computer Vision, Machine Learning Methods, Supervised Learning, Data Preprocessing, Program Evaluation, Unsupervised Learning, Python Programming, Data Science, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning Algorithms, Statistical Methods, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Machine Learning for Computer Vision

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Training, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Machine Learning Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Predictive Modeling, Model Deployment, Classification Algorithms, Data Transformation, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    115 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Model Optimization, Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Anomaly Detection, Classification Algorithms, Linear Algebra

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Deep Learning for Computer Vision

    Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Model Deployment, Model Training, Unsupervised Learning

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular unsupervised learning courses

  • Mathematics for Machine Learning: Imperial College London
  • Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University
  • IBM Machine Learning: IBM
  • The Nuts and Bolts of Machine Learning: Google
  • Transfer Learning Foundations for AI Models: Edureka
  • Core Machine Learning Algorithms and Model Validation: John Wiley & Sons
  • Machine Learning: Real-World Applications: John Wiley & Sons
  • Machine Learning with Python: IBM
  • Machine Learning for Computer Vision: MathWorks
  • Machine Learning with Apache Spark: IBM

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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