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  • Supervised Learning

Supervised Learning Courses

Supervised learning courses can help you learn regression analysis, classification techniques, and model evaluation methods. You can build skills in feature selection, hyperparameter tuning, and understanding bias-variance tradeoff. Many courses introduce tools like Python libraries such as scikit-learn and TensorFlow, that support implementing algorithms and analyzing data.

Popular Supervised Learning Courses and Certifications


  • Status: Free Trial
    Free Trial
    E

    Edge Impulse

    Computer Vision with Embedded Machine Learning

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Deep Learning, Model Deployment, Data Ethics, Responsible AI, Model Training, Machine Learning, Computer Programming, Classification Algorithms, Model Evaluation, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    168 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Model Training, Deep Learning, Transfer Learning, Application Development, Predictive Modeling, Model Deployment, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    EDUCBA

    AI & Machine Learning: Apply, Build & Solve

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Intelligence, Agentic systems, Machine Learning Algorithms, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Decision Intelligence, Markov Model, Algorithms, Programming Principles, Data-Driven Decision-Making, Probability & Statistics

    5
    Rating, 5 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    H

    H2O.ai

    H2O GPTe Learning Path

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Generative AI Agents, Agentic Workflows, Document Management, Generative AI, AI Workflows, Web Applications, Artificial Intelligence, Agentic systems, Model Optimization, Application Programming Interface (API), Workflow Management

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Satellite Imagery, Remote Sensing & Machine Learning

    Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Matplotlib, Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Plot (Graphics), Supervised Learning, Environmental Monitoring, Geospatial Information and Technology, Scientific Visualization, Predictive Modeling, Deep Learning, Geospatial Mapping, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Fake News Detection with Machine Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Plot (Graphics), Artificial Neural Networks, Data Cleansing, Data Import/Export, Data Preprocessing, Natural Language Processing, Model Training, Python Programming, Machine Learning, Automation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    266 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    T

    The University of Tokyo

    Let’s Read! Learning Japanese through Science & Technology-2

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

    4.9
    Rating, 4.9 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    P

    Politecnico di Milano

    Designing Learning Innovation: an introduction

    Skills you'll gain: Teaching, Pedagogy, Student Engagement, Instructional and Curriculum Design, Instructional Strategies, Instructional Design, Lesson Planning, Curriculum Planning, Student-Centred Learning, Innovation, Learning Theory, Quality Assessment, Infographics

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12 reviews

    Beginner · 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
    E

    EDUCBA

    Machine Learning with Python: Case Studies

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Model Training, Risk Modeling, Predictive Modeling, Statistical Methods, Predictive Analytics, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning Methods, Machine Learning, Python Programming, Logistic Regression

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Colorado Boulder

    Deep Learning Applications for Computer Vision

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Model Training, Model Optimization, Applied Machine Learning, Fine-tuning, Feature Engineering, Machine Learning, Model Evaluation, Classification Algorithms

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    90 reviews

    Intermediate · Course · 1 - 3 Months

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

    John Wiley & Sons

    Foundations of Machine Learning: Concepts, Tools, and Math

    Skills you'll gain: Data Literacy, Responsible AI, Machine Learning Methods, Machine Learning, Applied Machine Learning, Unstructured Data, Generative AI, Machine Learning Algorithms, Model Training, NumPy, Python Programming, Data Science, Scalability, Artificial Intelligence, Model Optimization, Supervised Learning, Data Preprocessing, Unsupervised Learning, Feature Engineering, Algorithms

    Beginner · Course · 1 - 3 Months

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

  • Computer Vision with Embedded Machine Learning: Edge Impulse
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • AI & Machine Learning: Apply, Build & Solve: EDUCBA
  • H2O GPTe Learning Path: H2O.ai
  • Satellite Imagery, Remote Sensing & Machine Learning: Coursera
  • Fake News Detection with Machine Learning: Coursera
  • Let’s Read! Learning Japanese through Science & Technology-2: The University of Tokyo
  • Designing Learning Innovation: an introduction: Politecnico di Milano
  • Advanced ML Algorithms & Unsupervised Learning: Packt
  • Machine Learning with Python: Case Studies: EDUCBA

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