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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


  • C

    Coursera

    Creating Interactive Learning Videos with Edpuzzle

    Skills you'll gain: Education Software and Technology

    4.7
    Rating, 4.7 out of 5 stars
    ·
    182 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    NLP – Machine Learning Models in Python

    Skills you'll gain: Dimensionality Reduction, Text Mining, Applied Machine Learning, Statistical Machine Learning, Supervised Learning, Unsupervised Learning, Python Programming, Machine Learning, Predictive Modeling, Regression Analysis, Algorithms

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Employee Attrition Prediction Using Machine Learning

    Skills you'll gain: Data Visualization, Feature Engineering, Data Cleansing, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Science, Classification And Regression Tree (CART), Applied Machine Learning, Regression Analysis, Supervised Learning, Predictive Analytics, Machine Learning, Human Resources, Decision Tree Learning, Employee Retention

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Gemini for Google Cloud Learning Path

    Skills you'll gain: Google Gemini, Google Cloud Platform, Kubernetes, Generative AI, Big Data, Software Development Life Cycle, Cloud Computing, Cloud Security, Development Testing, Application Deployment, Marketing Analytics, DevOps, Application Lifecycle Management, Application Development, Network Planning And Design, Data Analysis, Software Development Tools, Vulnerability Assessments, Security Controls, Security Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    28 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Cloud API, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework), Automation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    87 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning for Kyphosis Disease Classification

    Skills you'll gain: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Manipulation, Data Science, Data Transformation, Data Processing, Predictive Analytics, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    13 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
    ·
    176 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    The Teacher's Social and Emotional Learning

    Skills you'll gain: Self-Awareness, Teaching, Empathy, Classroom Management, Growth Mindedness, Resilience, Relationship Building

    4.7
    Rating, 4.7 out of 5 stars
    ·
    680 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Exploring Generative AI for Learning Design

    Skills you'll gain: Generative AI, Education Software and Technology, Prompt Engineering, Instructional Design, Artificial Intelligence, Design Strategies, Content Creation, Creative Design, Emerging Technologies, Professional Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    41 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Business Analytics, Predictive Modeling, Deep Learning, Machine Learning, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    21 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Intermediate Data Manipulation and Machine Learning

    Skills you'll gain: Reinforcement Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Classification And Regression Tree (CART), Supervised Learning, Unsupervised Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, Data Manipulation

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Pandas (Python Package), Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Data Science, MLOps (Machine Learning Operations), Machine Learning, Tensorflow, Artificial Neural Networks

    4.5
    Rating, 4.5 out of 5 stars
    ·
    321 reviews

    Intermediate · Course · 1 - 4 Weeks

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1…293031…505

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

  • Creating Interactive Learning Videos with Edpuzzle: Coursera
  • NLP – Machine Learning Models in Python: Packt
  • Employee Attrition Prediction Using Machine Learning: Coursera
  • Gemini for Google Cloud Learning Path: Google Cloud
  • Cloud Machine Learning Engineering and MLOps: Duke University
  • Machine Learning for Kyphosis Disease Classification: Coursera
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • The Teacher's Social and Emotional Learning: University of Colorado Boulder
  • Exploring Generative AI for Learning Design: University of Michigan
  • Interpretable machine learning applications: Part 3: Coursera

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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