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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
    W

    Wesleyan University

    Machine Learning for Data Analysis

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Statistical Machine Learning, Predictive Modeling, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Data Science, Data Mining, Analytics, Exploratory Data Analysis, Regression Analysis, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    328 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Scikit-Learn to Solve Regression Machine Learning Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Model Training, Machine Learning, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introduction to Probability and Data with R

    Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Probability & Statistics, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Methods, Statistical Analysis, Statistical Software, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Survey Data Collection and Analytics

    Skills you'll gain: Sampling (Statistics), Sample Size Determination, Surveys, Survey Creation, Research Methodologies, Statistical Analysis, Data Analysis Software, Data Collection, Statistical Software, Interviewing Skills, Research Design, STATA (Software), R (Software), Data Integration, Data Validation, Data Ethics, Data Analysis, Stata, Statistical Programming, R Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    417 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Training, Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Amsterdam

    Data Analytics for Lean Six Sigma

    Skills you'll gain: Lean Six Sigma, Data Visualization, Statistical Hypothesis Testing, Minitab, Statistical Visualization, Six Sigma Methodology, Regression Analysis, Probability Distribution, Statistical Methods, Descriptive Statistics, Data Analysis, Histogram, Lean Methodologies, Statistical Analysis, Statistical Software, Statistical Modeling, Probability & Statistics, Data-Driven Decision-Making, Analytics, Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Test-Driven Development Project: Random Person Generator

    Skills you'll gain: Unit Testing, Test Driven Development (TDD), Program Development, Mockups, Test Script Development, Development Testing, Software Testing, Test Case

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    Y

    Yale University

    Tropical Forest Landscapes 101: Conservation & Restoration

    Skills you'll gain: Land Management, Environmental Science, Sustainable Systems, Sustainable Development, Environment, Natural Resource Management, Environmental Engineering and Restoration, Environmental Issue, Environmental Resource Management, Environment and Resource Management, Climate Change Adaptation, Philanthropy, Social Studies, Climate Change Mitigation, Finance, Financial Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    180 reviews

    Beginner · Course · 1 - 3 Months

  • 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: Preview
    Preview
    S

    Stanford University

    Game Theory

    Skills you'll gain: Game Theory, Mathematical Modeling, Bayesian Statistics, Behavioral Economics, Probability, Economics, Markov Model, Problem Solving, Algorithms, Correlation Analysis, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Probability Foundations for Data Science and AI

    Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Sampling (Statistics), Data Analysis, Correlation Analysis, Statistical Analysis, Applied Mathematics, Data Collection

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    290 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Machine Learning for Data Analysis: Wesleyan University
  • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
  • Introduction to Probability and Data with R: Duke University
  • Survey Data Collection and Analytics: University of Michigan
  • Build a Machine Learning Web App with Streamlit and Python: Coursera
  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • Data Analytics for Lean Six Sigma: University of Amsterdam
  • Test-Driven Development Project: Random Person Generator: LearnQuest
  • Tropical Forest Landscapes 101: Conservation & Restoration: Yale University
  • Advanced ML Algorithms & Unsupervised Learning: Packt

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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