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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.


More to explore:

Popular Supervised Learning Courses and Certifications


  • C

    Coursera

    Enhance Student Learning with Interactive Lessons in Nearpod

    Skills you'll gain: Education Software and Technology, Digital pedagogy, Real Time Data, Google Workspace

    4.8
    Rating, 4.8 out of 5 stars
    ·
    47 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Model Evaluation

    Beginner · Course · 3 - 6 Months

  • C

    Coursera

    Naive Bayes 101: Resume Selection with Machine Learning

    Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Preprocessing, Natural Language Processing, Machine Learning, Unstructured Data, Data Analysis, Data Manipulation, Python Programming, Computer Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Houston

    Powerful Tools for Teaching and Learning: Web 2.0 Tools

    Skills you'll gain: Collaborative Software, Digital pedagogy, Education Software and Technology, Collaboration, Learning Management Systems, Teaching, digital literacy, Communication, Technology Strategies, Web Applications, Communication Systems, Digital Communications

    4.5
    Rating, 4.5 out of 5 stars
    ·
    189 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Machine/Deep Learning for Mining Quality Prediction-Enhanced

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Preprocessing, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Matplotlib, Random Forest Algorithm, Machine Learning, Data Visualization, Decision Tree Learning, Artificial Neural Networks, Deep Learning, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - 한국어

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, DevOps, Application Lifecycle Management, Continuous Deployment, Model Evaluation, Applied Machine Learning, Cloud Solutions, Automation, Data Management

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Utiliser BigQuery Machine Learning pour l'inférence

    Skills you'll gain: Big Data, Data Analysis, Google Cloud Platform, Applied Machine Learning, MLOps (Machine Learning Operations), Statistical Inference, Machine Learning Methods, Model Deployment

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Deep learning in Electronic Health Records - CDSS 2

    Skills you'll gain: Deep Learning, Recurrent Neural Networks (RNNs), Data Preprocessing, Artificial Neural Networks, Convolutional Neural Networks, Model Evaluation, Health Informatics, Electronic Medical Record, Data Cleansing, Feature Engineering, Time Series Analysis and Forecasting, Predictive Modeling, Classification Algorithms

    4
    Rating, 4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Keras (Neural Network Library), Google Cloud Platform, Data Preprocessing, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Logistic Regression, Supervised Learning, Model Evaluation, Machine Learning Algorithms, Cloud Deployment, Performance Tuning, AI Security, Artificial Neural Networks

    4.2
    Rating, 4.2 out of 5 stars
    ·
    30 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning in the Enterprise - Português Brasileiro

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Data Governance, AI Workflows, Data Management, Predictive Modeling, Machine Learning, Model Evaluation, AI Orchestration, Data Pipelines, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The Hong Kong University of Science and Technology

    Learning HTML, CSS and JavaScript through Game Development

    Skills you'll gain: HTML and CSS, jQuery, Web Design and Development, Javascript, Web Development, Animations, Front-End Web Development, Web Applications, Event-Driven Programming, Debugging

    Intermediate · Course · 1 - 3 Months

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

  • Enhance Student Learning with Interactive Lessons in Nearpod: Coursera
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt
  • Naive Bayes 101: Resume Selection with Machine Learning: Coursera
  • Powerful Tools for Teaching and Learning: Web 2.0 Tools: University of Houston
  • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera
  • Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud
  • Utiliser BigQuery Machine Learning pour l'inférence: Google Cloud
  • Deep learning in Electronic Health Records - CDSS 2: University of Glasgow
  • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM

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