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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


  • U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Model Training, Model Optimization, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks

    ★ 4.6 (8.8K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Introduction to AI and Machine Learning on Google Cloud

    Skills you'll gain: Generative AI, Generative AI Agents, Google Gemini, Google Cloud Platform, Generative Model Architectures, MLOps (Machine Learning Operations), Prompt Engineering, Tensorflow, AI Workflows, Cloud Infrastructure, Applied Machine Learning, Artificial Intelligence, Data Infrastructure, Multimodal Prompts, Model Deployment, Model Training, Machine Learning, Model Evaluation, Supervised Learning

    ★ 4.6 (326) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Model Training, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Model Evaluation, Data Preprocessing, Feature Engineering, Model Optimization, Statistical Analysis, Statistical Methods, Classification Algorithms, Data Presentation

    ★ 4.7 (833) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    ★ 4.7 (3.8K) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • M

    MathWorks

    Machine Learning for Computer Vision

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Training, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Supervised Learning, Machine Learning Algorithms

    ★ 4.8 (23) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    ★ 4.6 (309) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • I

    Imperial College London

    Getting started with TensorFlow 2

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Model Training, Convolutional Neural Networks, Computer Programming, Model Optimization, Data Validation, Applied Machine Learning, Supervised Learning, Computer Vision, Artificial Neural Networks, Data Persistence

    ★ 4.9 (582) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Machine Learning Methods, Statistical Hypothesis Testing, Model Training, Data Processing, Machine Learning

    ★ 4.6 (3.4K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • W

    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Model Training, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Generative AI, Model Optimization, Regression Analysis

    ★ 4.6 (25) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Machine Learning for Absolute Beginners - Level 1

    Skills you'll gain: Generative AI, Responsible AI, Large Language Modeling, Generative Model Architectures, Data Ethics, Model Training, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, AI Security, Machine Learning, AI powered creativity, Applied Machine Learning, Artificial Intelligence, Supervised Learning, AI literacy, LLM Application, Artificial Neural Networks, Unsupervised Learning, Deep Learning

    Beginner · Course · 1 - 3 Months

    Category: New
    New
    Category: Credit offered
    Credit offered
  • N

    New York University

    Machine Learning and Reinforcement Learning in Finance

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Model Evaluation, Reinforcement Learning, Applied Machine Learning, Statistical Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Statistical Modeling, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Model Training, Machine Learning, Derivatives, Tensorflow

    ★ 3.7 (820) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Forecast Business Metrics: Uncover Value Drivers

    Skills you'll gain: Supervised Learning, Financial Forecasting, Forecasting, Applied Machine Learning, Predictive Modeling, Predictive Analytics, Revenue Forecasting, Model Evaluation, Business Analytics, Data-Driven Decision-Making, Business Metrics, Performance Analysis, Regression Analysis, Data Science, Stakeholder Communications, Model Training

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…456…24

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

  • Applied Machine Learning in Python: University of Michigan
  • Introduction to AI and Machine Learning on Google Cloud: Google Cloud
  • Supervised Machine Learning: Regression: IBM
  • Introduction to Machine Learning: Duke University
  • Machine Learning for Computer Vision: MathWorks
  • Machine Learning Introduction for Everyone: IBM
  • Getting started with TensorFlow 2: Imperial College London
  • IBM Introduction to Machine Learning: IBM
  • NVIDIA: Fundamentals of Machine Learning: Whizlabs
  • Machine Learning for Absolute Beginners - Level 1: Packt

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