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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
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Machine Learning Methods, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Machine Learning Software, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Data Analysis Software, Classification Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    University of Colorado Boulder

    BiteSize Stats: Key Probability Distributions

    Skills you'll gain: Probability Distribution, Statistical Modeling, Probability & Statistics, Statistical Methods, Probability, Statistical Analysis, Sampling (Statistics), Statistical Inference, Risk Modeling, Descriptive Statistics, Quality Control, Capacity Planning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Combinatorics, Statistical Programming, Data Analysis, Probability, Statistics, Probability Distribution, Applied Machine Learning, Probability & Statistics, Bayesian Statistics, Data Science, Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

    Skills you'll gain: Statistics, Descriptive Statistics, Probability & Statistics, Probability Distribution, Business Analytics, Statistical Methods, Microsoft Excel, Statistical Modeling, Data Analysis, Excel Formulas, Statistical Analysis, Descriptive Analytics, Box Plots, Sampling (Statistics), Statistical Inference, Correlation Analysis, Decision Making, Variance Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.7K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Automate Financial Analysis with AI Pipelines

    Skills you'll gain: Model Evaluation, Model Training, Forecasting, Financial Data, Financial Forecasting, Performance Metric, Financial Analysis, Credit Risk, AI Integrations, Applied Machine Learning, AI Workflows, Data Pipelines, Artificial Neural Networks, Automation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Applied Machine Learning with Python

    Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, AI Personalization, Classification Algorithms, Machine Learning, Model Training, Logistic Regression, Model Optimization, Data Analysis, Driving engagement, Persona (User Experience)

    Intermediate · Course · 1 - 4 Weeks

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

    University of Colorado Boulder

    Mastering Classic Reinforcement Learning Algorithms

    Skills you'll gain: Reinforcement Learning, Markov Model, Machine Learning Algorithms, Decision Intelligence, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Statistical Machine Learning, Sampling (Statistics), Model Optimization, Probability Distribution, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    EDUCBA

    R: Design & Evaluate Random Forests for Attrition

    Skills you'll gain: Model Evaluation, Data Preprocessing, Model Optimization, People Analytics, Model Training, Random Forest Algorithm, R Programming, Workforce Management, Predictive Analytics, Decision Tree Learning, R (Software), Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Intro to Predictive Analytics Using Python

    Skills you'll gain: Feature Engineering, Unsupervised Learning, Model Evaluation, Predictive Modeling, Predictive Analytics, Advanced Analytics, Decision Tree Learning, Supervised Learning, Applied Machine Learning, Model Training, Forecasting, Random Forest Algorithm, Analytics, Data Analysis, Regression Analysis, Machine Learning, Logistic Regression, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Introduction to Statistics & Data Analysis in Public Health

    Skills you'll gain: Analytical Skills, Science and Research, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Statistical Analysis, R (Software), Data Analysis, Statistical Software, Statistical Programming, Probability & Statistics, Statistical Methods, Data Analysis Software, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Applied Machine Learning Without Coding

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Model Optimization, Data Manipulation, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

1…678…48

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

  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • BiteSize Stats: Key Probability Distributions: University of Colorado Boulder
  • Foundations of Probability and Random Variables: Johns Hopkins University
  • Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions: Rice University
  • Automate Financial Analysis with AI Pipelines: Coursera
  • Applied Machine Learning with Python: Edureka
  • Mastering Classic Reinforcement Learning Algorithms: University of Colorado Boulder
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • R: Design & Evaluate Random Forests for Attrition: EDUCBA
  • Intro to Predictive Analytics Using Python: University of Pennsylvania

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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