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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
    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    354 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Framework for Data Collection and Analysis

    Skills you'll gain: Data Collection, Survey Creation, Research Design, Data Quality, Data Analysis, Data Validation, Sampling (Statistics), Data Management, Big Data, Statistical Methods

    4.2
    Rating, 4.2 out of 5 stars
    ·
    773 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Research Proposal: Initiating Research

    Skills you'll gain: Market Research, Proposal Writing, Research Methodologies, Market Analysis, Business Research, Data Collection, Quantitative Research, Business Writing, Sampling (Statistics), Survey Creation, Qualitative Research, Request for Proposal, Client Services, Professional Networking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    942 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Statistics Foundations

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistics, Data Modeling, Statistical Analysis, Business Analytics, Marketing Analytics, Analytics, Probability & Statistics, Data Analysis, Descriptive Analytics, Statistical Methods, Tableau Software, Statistical Modeling, A/B Testing, Time Series Analysis and Forecasting, Regression Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    382 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mathematical Biostatistics Boot Camp 1

    Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Probability, Probability Distribution, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    536 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Functional Program Design in Scala

    Skills you'll gain: Scala Programming, Functional Design, Application Design, Software Design Patterns, Unit Testing, Data Structures, Simulations

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.1K reviews

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Data-Driven Decision-Making, Predictive Modeling, Probability Distribution

    3.8
    Rating, 3.8 out of 5 stars
    ·
    798 reviews

    Intermediate · Course · 1 - 3 Months

  • 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, Financial Regulation, Financial Modeling, Market Liquidity, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    832 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Think Again III: How to Reason Inductively

    Skills you'll gain: Deductive Reasoning, Probability, Sampling (Statistics), Sample Size Determination, Correlation Analysis, Case Studies, Scientific Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    456 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Business Analytics for Decision Making

    Skills you'll gain: Business Analytics, Risk Analysis, Decision Making, Predictive Analytics, Simulation and Simulation Software, Business Modeling, Data Analysis, Process Optimization, Market Analysis, Unsupervised Learning, Microsoft Excel, Exploratory Data Analysis, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Science Foundations: Statistical Inference

    Skills you'll gain: Statistical Hypothesis Testing, Probability & Statistics, Probability, Statistical Inference, Probability Distribution, Statistical Methods, Statistics, Bayesian Statistics, Applied Mathematics, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Data Ethics, Descriptive Statistics, Theoretical Computer Science, Data Science, Quantitative Research, Correlation Analysis

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    348 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Design of Experiments

    Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Regression Analysis, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Modeling, Statistical Hypothesis Testing, Design Strategies, Sampling (Statistics), Probability & Statistics, Mathematical Modeling, Analysis, Model Evaluation, Data Transformation, Descriptive Statistics, Probability Distribution, Variance Analysis, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    379 reviews

    Beginner · 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

  • IBM AI Enterprise Workflow: IBM
  • Framework for Data Collection and Analysis: University of Maryland, College Park
  • Research Proposal: Initiating Research: University of California, Davis
  • Statistics Foundations: Meta
  • Mathematical Biostatistics Boot Camp 1: Johns Hopkins University
  • Functional Program Design in Scala: École Polytechnique Fédérale de Lausanne
  • Bayesian Statistics: Duke University
  • Introduction to Risk Management: New York Institute of Finance
  • Think Again III: How to Reason Inductively: Duke University
  • Business Analytics for Decision Making: University of Colorado Boulder

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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