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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
    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, Data Collection, Knowledge Transfer, Team Building, Statistical Hypothesis Testing, Meeting Facilitation, Continuous Improvement Process, Performance Measurement, Conflict Management, Process Analysis, Sampling (Statistics), Quality Control, Team Leadership, Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    827 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Applied Statistics for Data Analytics

    Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Histogram, Probability Distribution, Correlation Analysis, Statistical Inference, Estimation, Simulation and Simulation Software, Sampling (Statistics), LLM Application, Spreadsheet Software

    4.9
    Rating, 4.9 out of 5 stars
    ·
    54 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    É

    École Polytechnique

    Aléatoire : une introduction aux probabilités - Partie 1

    Skills you'll gain: Probability, Probability Distribution, Simulations, Probability & Statistics, Statistical Methods, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    105 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Infectious Disease Modelling

    Skills you'll gain: Epidemiology, Mathematical Modeling, Statistical Modeling, Simulations, Risk Modeling, Infectious Diseases, Public Health, Model Evaluation, Predictive Modeling, R Programming, Differential Equations, Data Modeling, Statistical Methods, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    296 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Estimation for Data Science and AI

    Skills you'll gain: Probability & Statistics, Statistical Inference, Probability Distribution, Statistical Methods, Statistics, Applied Mathematics, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Theoretical Computer Science

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
    ·
    89 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Evaluating Large-Scale Health Programs

    Skills you'll gain: Surveys, Program Evaluation, Survey Creation, Health Policy, Sampling (Statistics), Health Systems, Health Assessment, Health Equity, Data Collection, Quantitative Research, Institutional Review Board (IRB), Maternal Health, Data Management, Statistical Analysis, Analysis, Nutrition and Diet, Public Health, Research Design, Data Cleansing, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    78 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    Methods for Quantitative Research in Psychology

    Skills you'll gain: Quantitative Research, Scientific Methods, Research Design, Surveys, Research, Research and Design, Qualitative Research, Correlation Analysis, Data Collection, Data Analysis, Psychology, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    185 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Sampling People, Networks and Records

    Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Quantitative Research, Statistical Methods, Statistical Analysis, Statistical Software, Probability & Statistics, Probability, Network Analysis, Research Design

    4.3
    Rating, 4.3 out of 5 stars
    ·
    106 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Analytics for Decision Making

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain, Probability, Predictive Modeling, Data Preprocessing, Business Modeling, Business Analytics, Workforce Management, Analytics, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Statistics, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
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    292 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Advanced Topics in Derivative Pricing

    Skills you'll gain: Derivatives, Credit Risk, Financial Market, Portfolio Risk, Capital Markets, Risk Analysis, Risk Management, Market Dynamics, Portfolio Management, Financial Modeling, Operations Research, Mathematical Modeling, Probability Distribution, Applied Mathematics, Computer Programming

    4.4
    Rating, 4.4 out of 5 stars
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    30 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    720 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Data Structures and Algorithms: The Complete Masterclass

    Skills you'll gain: Data Structures, Algorithms, Graph Theory, Programming Principles, Theoretical Computer Science, Computer Science, Computer Programming, Python Programming, Pandas (Python Package), Machine Learning Algorithms, Computational Thinking, C++ (Programming Language), Data Architecture, Random Forest Algorithm, Performance Tuning, Object Oriented Programming (OOP), Network Analysis, Program Development, Problem Solving, Debugging

    4.5
    Rating, 4.5 out of 5 stars
    ·
    37 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Six Sigma Black Belt: Kennesaw State University
  • Applied Statistics for Data Analytics: DeepLearning.AI
  • Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique
  • Infectious Disease Modelling: Imperial College London
  • Statistical Estimation for Data Science and AI: University of Colorado Boulder
  • Evaluating Large-Scale Health Programs: Johns Hopkins University
  • Methods for Quantitative Research in Psychology: American Psychological Association
  • Sampling People, Networks and Records: University of Michigan
  • Analytics for Decision Making: University of Minnesota
  • Advanced Topics in Derivative Pricing: Columbia University

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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