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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


  • C

    Coursera

    Naive Bayes 101: Resume Selection with Machine Learning

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Deep Learning: Advanced Backbones and Efficient GPU Training

    Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Deep Learning, Vision Transformer (ViT), Transfer Learning, Convolutional Neural Networks, Model Optimization, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Performance Tuning, Distributed Computing, Data Preprocessing, Embeddings

    Intermediate · Course · 1 - 4 Weeks

  • 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, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), jQuery, Javascript and jQuery, Web Design and Development, Javascript, Web Development, Animations, Front-End Web Development, Animation and Game Design, Web Applications, Event-Driven Programming, Software Design Patterns

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Español

    Skills you'll gain: Model Optimization, Feature Engineering, Model Deployment, Tensorflow, Model Training, Exploratory Data Analysis, Google Cloud Platform, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Data Quality, Machine Learning Software, Business Metrics, Machine Learning Methods, Machine Learning, Applied Machine Learning, Logistic Regression, Dataflow, Data Pipelines, Cloud Deployment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    448 reviews

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    C++ Crash Course - Quick and Practical Learning

    Skills you'll gain: C and C++, File I/O, Memory Management, Code Reusability, Computer Programming Tools

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Cutting-Edge Topics in Deep Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Model Optimization, Fine-tuning, Artificial Neural Networks, Applied Machine Learning, Machine Learning, Model Training, Machine Learning Algorithms, Data Analysis

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Machine/Deep Learning for Mining Quality Prediction-Enhanced

    Skills you'll gain: Exploratory Data Analysis, Model Training, Model Evaluation, Data Preprocessing, Regression Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Analysis, Plot (Graphics), Machine Learning, Data Visualization, Decision Tree Learning, Predictive Analytics, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    Deep Learning - Computer Vision for Beginners Using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Model Optimization, Python Programming, Data Manipulation, Model Training

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    DevOps for Machine Learning: CI/CD, APIs & Deployment

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, DevOps, CI/CD, Containerization, Application Deployment, Devops Tools, Cloud Deployment, Continuous Integration, Continuous Deployment, Docker (Software), Model Training, Model Evaluation, Restful API, Version Control, API Testing, Application Programming Interface (API), GitHub, Automation, Data Validation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Building Recommender Systems with Machine Learning and AI

    Skills you'll gain: AI Personalization, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Artificial Neural Networks, Applied Machine Learning, Python Programming, Fraud detection, Machine Learning Algorithms, Model Optimization, Model Evaluation

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Data Visualization, Plot (Graphics), Regression Analysis, Machine Learning Algorithms, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Statistical Methods, Probability & Statistics, Python Programming, Model Training, Statistical Programming

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Learning MEAN Stack by Building Real world Application

    Skills you'll gain: Node.JS, User Interface (UI), MongoDB, Javascript, Web Design, Front-End Web Development, Middleware, Cascading Style Sheets (CSS), Bootstrap (Front-End Framework), jQuery, Security Controls

    4.2
    Rating, 4.2 out of 5 stars
    ·
    67 reviews

    Intermediate · Specialization · 1 - 3 Months

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

  • Naive Bayes 101: Resume Selection with Machine Learning: Coursera
  • Deep Learning: Advanced Backbones and Efficient GPU Training: Board Infinity
  • Learning HTML, CSS and JavaScript through Game Development: The Hong Kong University of Science and Technology
  • Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
  • C++ Crash Course - Quick and Practical Learning: Packt
  • Cutting-Edge Topics in Deep Reinforcement Learning: Packt
  • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera
  • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
  • DevOps for Machine Learning: CI/CD, APIs & Deployment: Board Infinity
  • Building Recommender Systems with Machine Learning and AI: Packt

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