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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: Free Trial
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    LearnKartS

    Introduction to AI and Machine Learning

    Skills you'll gain: AWS SageMaker, Data Preprocessing, Computer Vision, Natural Language Processing, Machine Learning, Data Wrangling, Reinforcement Learning, Artificial Intelligence, Model Deployment

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    University of Colorado Boulder

    Predicting Extreme Climate Behavior with Machine Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Regression Analysis, Supervised Learning, Data Science, Decision Tree Learning, Statistical Analysis, Classification Algorithms, Predictive Modeling, Artificial Neural Networks, Data Processing, Logistic Regression

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing, Model Deployment, Computer Vision

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.1K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
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    Coursera

    Machine Learning with Scikit-learn, PyTorch & Hugging Face

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    EDUCBA

    Machine Learning Projects in R with Caret

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Machine Learning Algorithms, Data Manipulation, Data Mining, Exploratory Data Analysis, Data Integrity

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Large Language Modeling, Natural Language Processing, Embeddings, AI Personalization, Network Model, Network Architecture, Linear Algebra

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    Packt

    Azure ML Bootcamp: Machine Learning on the Cloud

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Data Quality, Performance Tuning

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Algorithm Alchemy: Unlocking the Secrets of Machine Learning

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Classification Algorithms, Model Evaluation, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Packt

    Machine Learning, Data Science and Generative AI with Python

    Skills you'll gain: Apache Spark, PySpark, Retrieval-Augmented Generation, OpenAI API, Generative AI, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Transfer Learning, Deep Learning, ChatGPT, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Computer Vision, Retrieval-Augmented Generation, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Vision Transformer (ViT), Keras (Neural Network Library), LLM Application, Supervised Learning, Vector Databases, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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

  • Introduction to AI and Machine Learning: LearnKartS
  • Predicting Extreme Climate Behavior with Machine Learning : University of Colorado Boulder
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
  • Machine Learning Projects in R with Caret: EDUCBA
  • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
  • Azure ML Bootcamp: Machine Learning on the Cloud: Packt
  • Algorithm Alchemy: Unlocking the Secrets of Machine Learning: Packt
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Machine Learning, Data Science and Generative AI with Python: Packt

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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