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  • Random Forest

Random Forest Courses

Random Forest courses can help you learn decision tree algorithms, ensemble methods, feature selection, and model evaluation techniques. You can build skills in data preprocessing, hyperparameter tuning, and interpreting model outputs. Many courses introduce tools like Python's scikit-learn and R's randomForest package, showing how these skills are applied to tasks such as classification, regression, and handling large datasets.

Popular Random Forest Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Foundations of Data Structures and Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Quantum computing, Public Key Cryptography Standards (PKCS), Cryptography, Design Strategies, Cryptographic Protocols, Tree Maps, Encryption, Network Model, Computational Thinking, Combinatorics, Data Science, Mathematical Software, Computer Science, Mathematical Modeling, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    974 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    BiteSize Stats: Probability Rules and Bayes Theorem 

    Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Diagnostic Tests, Bayesian Statistics, Combinatorics, Statistical Methods, Applied Mathematics, Data Literacy, Statistical Inference, Business Mathematics, Logical Reasoning, Correlation Analysis, Fraud detection

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Market Research

    Skills you'll gain: Focus Group, Quantitative Research, Statistical Hypothesis Testing, Qualitative Research, Data Visualization, Survey Creation, Data Synthesis, Surveys, Data Presentation, Marketing Analytics, Regression Analysis, Discussion Facilitation, Market Research, Data Storytelling, Statistical Inference, Business Research, Proposal Development, Sampling (Statistics), Research Methodologies, Proposal Writing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Systems Development, Simulations, Solution Architecture, Agentic systems, Feature Engineering, Model Training, Markov Model, Decision Intelligence, Supervised Learning, Algorithms, Model Evaluation, Applied Machine Learning, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Machine Learning Methods, Network Model, Electrophysiology, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Sensory Systems Analysis, Matlab, Mathematical Modeling, Network Analysis, Neurology, Recurrent Neural Networks (RNNs), Physiology, Biology, Differential Equations, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

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

    John Wiley & Sons

    Quantitative Tools for Risk and Decision Analysis

    Skills you'll gain: Risk Modeling, Estimation, Risk Management, Analysis, Decision Making, Risk Analysis, Statistics, Data-Driven Decision-Making, Forecasting, Strategic Decision-Making, Probability, Quantitative Research, Statistical Modeling, Data Collection, Data Analysis, Probability Distribution, Predictive Modeling, Strategic Prioritization, Simulation and Simulation Software, Statistical Methods

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    468 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: From Concept to Data Analysis

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Methods, Probability & Statistics, Statistics, Statistical Modeling, Probability, Statistical Programming, Statistical Analysis, Statistical Software, Probability Distribution, Data Analysis, R Programming, Regression Analysis, R (Software), Analytical Skills, Statistical Visualization, Predictive Modeling, Data Visualization, Data Modeling

    4.6
    Rating, 4.6 out of 5 stars
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    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Active Machine Learning with Python

    Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Model Optimization, Applied Machine Learning, Model Evaluation, Convolutional Neural Networks, Machine Learning Methods, Image Analysis, Scikit Learn (Machine Learning Library), Computer Vision, Machine Learning, Sampling (Statistics), Continuous Monitoring, Data Collection, Python Programming, Big Data, Data Quality

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Zurich

    An Intuitive Introduction to Probability

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Descriptive Statistics, Statistical Methods, Applied Mathematics, Risk Management, Finance, Correlation Analysis, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Practical Predictive Analytics: Models and Methods

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Data Science, Machine Learning Methods, Predictive Analytics, Applied Machine Learning, Analytics, Data Analysis, R Programming, Model Optimization, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning, Statistics, Graph Theory, Classification Algorithms, Network Analysis, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    325 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Modeling Risk and Realities

    Skills you'll gain: Risk Modeling, Risk Management, Mathematical Modeling, Statistical Modeling, Predictive Modeling, Risk Analysis, Simulation and Simulation Software, Statistical Methods, Probability Distribution, Data-Driven Decision-Making, Decision Making, Statistical Hypothesis Testing, Statistical Analysis, Model Optimization, Probability & Statistics, Microsoft Excel, Spreadsheet Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.2K reviews

    Mixed · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular random forest courses

  • Foundations of Data Structures and Algorithms: University of Colorado Boulder
  • BiteSize Stats: Probability Rules and Bayes Theorem : University of Colorado Boulder
  • Market Research: University of California, Davis
  • Reinforcement Learning: University of Alberta
  • Computational Neuroscience: University of Washington
  • Quantitative Tools for Risk and Decision Analysis: John Wiley & Sons
  • Supervised Machine Learning: Classification: IBM
  • Bayesian Statistics: From Concept to Data Analysis: University of California, Santa Cruz
  • Active Machine Learning with Python: Packt
  • An Intuitive Introduction to Probability: University of Zurich

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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