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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
    N

    New York Institute of Finance

    Introduction to Risk Management

    Skills you'll gain: Risk Management, Business Risk Management, Risk Modeling, Operational Risk, Enterprise Risk Management (ERM), Credit Risk, Risk Analysis, Portfolio Management, Capital Markets, Financial Market, Investment Management, Finance, Financial Regulation, Financial Modeling, Market Liquidity, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    805 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Emory University

    Foundations of Marketing Analytics

    Skills you'll gain: Pivot Tables And Charts, Customer Analysis, Probability Distribution, Customer Demand Planning, Marketing Analytics, Forecasting, Descriptive Statistics, Social Media Marketing, Exploratory Data Analysis, Probability, Statistical Analysis, Target Market, Marketing Effectiveness, Social Media, Revenue Forecasting, Time Series Analysis and Forecasting, Statistics, Predictive Modeling, Microsoft Excel, Marketing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    527 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    CertNexus Certified Artificial Intelligence Practitioner

    Skills you'll gain: Data Ethics, Applied Machine Learning, Unsupervised Learning, Random Forest Algorithm, Data Analysis, Regression Analysis, Responsible AI, Decision Tree Learning, Machine Learning Algorithms, Data Collection, Deep Learning, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Business Ethics, Compliance Management, Test Planning, Learning Strategies, Goal Setting, Registration

    4.6
    Rating, 4.6 out of 5 stars
    ·
    297 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    I

    IIMA - IIM Ahmedabad

    Pre-MBA Statistics

    Skills you'll gain: Sampling (Statistics), Probability, Probability & Statistics, Statistical Hypothesis Testing, Statistics, Data Literacy, Statistical Visualization, Probability Distribution, Statistical Methods, Statistical Inference, Estimation, Descriptive Statistics, Sample Size Determination, Data Analysis, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    293 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Science Foundations: Statistical Inference

    Skills you'll gain: Probability, Statistical Hypothesis Testing, Probability & Statistics, Probability Distribution, Statistical Methods, Statistical Inference, Bayesian Statistics, Sampling (Statistics), Statistical Analysis, Data Ethics, Statistics, A/B Testing, Data Analysis, Data Science, Descriptive Statistics, Quantitative Research, Artificial Intelligence

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    335 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Black Belt

    Skills you'll gain: Statistical Process Controls, Lean Six Sigma, Six Sigma Methodology, Lean Methodologies, Process Improvement, Team Management, Process Capability, Lean Manufacturing, Data Collection, Knowledge Transfer, Team Building, Statistical Hypothesis Testing, Meeting Facilitation, Quality Improvement, Continuous Improvement Process, Performance Measurement, Conflict Management, Process Analysis, Sampling (Statistics), Statistics

    4.5
    Rating, 4.5 out of 5 stars
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    809 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Introduction to Statistics & Data Analysis in Public Health

    Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Hypothesis Testing in Public Health

    Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Quantitative Research, Public Health

    4.8
    Rating, 4.8 out of 5 stars
    ·
    649 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    781 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Machine Learning with Neural Networks

    Skills you'll gain: Bayesian Network, Artificial Neural Networks, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Network Architecture, Algorithms, Probability Distribution

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of London

    Get Interactive: Practical Teaching with Technology

    Skills you'll gain: Education Software and Technology, Learning Management Systems, Collaborative Software, Graphical Tools, Test Tools, Content Management Systems, Video Production

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDHEC Business School

    Introduction to Portfolio Construction and Analysis with Python

    Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Risk Analysis, Financial Modeling, Risk Management, Financial Analysis, NumPy, Probability Distribution, Python Programming, Simulations, Pandas (Python Package), Matplotlib, Data Manipulation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.5K reviews

    Mixed · Course · 1 - 4 Weeks

Searches related to random forest

neural networks and random forests
r: design & evaluate random forests for attrition
python: implement & evaluate random forests for ml
machine learning: random forest with python from scratch©
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In summary, here are 10 of our most popular random forest courses

  • Introduction to Risk Management: New York Institute of Finance
  • Foundations of Marketing Analytics: Emory University
  • CertNexus Certified Artificial Intelligence Practitioner: CertNexus
  • Pre-MBA Statistics: IIMA - IIM Ahmedabad
  • Data Science Foundations: Statistical Inference: University of Colorado Boulder
  • Six Sigma Black Belt: Kennesaw State University
  • Introduction to Statistics & Data Analysis in Public Health: Imperial College London
  • Hypothesis Testing in Public Health : Johns Hopkins University
  • Advanced Statistics for Data Science: Johns Hopkins University
  • Machine Learning with Neural Networks: Dartmouth College

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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