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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: New
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    Packt

    Django Advanced Applications: E-Learning, APIs, & Deployment

    Skills you'll gain: Django (Web Framework), Restful API, Content Management Systems, API Design, Application Deployment, Content Management, Learning Management Systems, Docker (Software), Web Servers, Nginx, Data Modeling, Web Development, PostgreSQL, Authentications, Containerization, Ajax, Python Programming, Performance Tuning, Real Time Data

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Unsupervised Learning, Applied Machine Learning, Embeddings, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
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    Packt

    Deep Learning & Modern AI Architectures

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Fine-tuning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Image Analysis, Model Training, Machine Learning Methods, Applied Machine Learning, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Cloud Engineering, Google Cloud Platform, Model Deployment, Cloud Applications, Cloud Development, Cloud API, Cloud Deployment, Artificial Intelligence, Machine Learning, Microsoft Azure, AI Workflows, Software Engineering, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
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    92 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Model Optimization, Statistical Modeling, Probability, Probability & Statistics, Machine Learning Methods, Statistical Methods, Machine Learning Algorithms, Bayesian Statistics, Probability Distribution, Machine Learning, Applied Mathematics, Statistical Inference, Verification And Validation, Dimensionality Reduction, Algebra

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning - Anomaly Detection via PyCaret

    Skills you'll gain: Model Deployment, Anomaly Detection, Model Training, Jupyter, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Scientific Visualization, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Analysis, Data Preprocessing, Machine Learning, Development Environment

    3.8
    Rating, 3.8 out of 5 stars
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    18 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Breast Cancer Prediction Using Machine Learning

    Skills you'll gain: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Data Access, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Classification Algorithms, Machine Learning, Supervised Learning

    4.2
    Rating, 4.2 out of 5 stars
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    57 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Packt

    Deep Learning and Advanced Techniques

    Skills you'll gain: Model Deployment, Transfer Learning, Keras (Neural Network Library), Fine-tuning, Deep Learning, Applied Machine Learning, Tensorflow, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Model Training

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
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    National Taiwan University

    Learning Chinese : Start From Scratch (零到一學中文)

    Skills you'll gain: Language Learning, Vocabulary, Grammar, Language Competency, Oral Comprehension

    4.5
    Rating, 4.5 out of 5 stars
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    553 reviews

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Machine Learning with Python: Diabetes Prediction

    Skills you'll gain: Jupyter, Data Transformation, Logistic Regression, Health Informatics, Applied Machine Learning, Data Preprocessing, Machine Learning, Data Processing, Model Evaluation, Predictive Modeling, Predictive Analytics, Diagnostic Tests, Analytics, Classification Algorithms, Software Installation

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Glasgow

    Explainable Deep Learning Models for Healthcare

    Skills you'll gain: Autoencoders, Feature Engineering, Deep Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Machine Learning, Applied Machine Learning, Predictive Modeling, Responsible AI, Convolutional Neural Networks, Artificial Neural Networks, Scientific Visualization

    4.6
    Rating, 4.6 out of 5 stars
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    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Model Optimization, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Machine Learning Methods, Classification Algorithms, Model Training, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Statistical Machine Learning, Data Validation, Machine Learning, Project Management

    4.6
    Rating, 4.6 out of 5 stars
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    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Django Advanced Applications: E-Learning, APIs, & Deployment: Packt
  • Machine Learning with PySpark: Recommender System: Coursera
  • Deep Learning & Modern AI Architectures: Packt
  • Cloud Machine Learning Engineering and MLOps: Duke University
  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • Machine Learning - Anomaly Detection via PyCaret: Coursera
  • Breast Cancer Prediction Using Machine Learning: Coursera
  • Deep Learning and Advanced Techniques: Packt
  • Learning Chinese : Start From Scratch (零到一學中文): National Taiwan University
  • Machine Learning with Python: Diabetes Prediction: EDUCBA

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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