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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


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    U

    University of Amsterdam

    Data Analytics for Lean Six Sigma

    Skills you'll gain: Lean Six Sigma, Statistical Hypothesis Testing, Minitab, Regression Analysis, Data Visualization Software, Probability Distribution, Data Analysis, Histogram, Statistical Analysis, Box Plots, Process Improvement, Logistic Regression, Statistics, Variance Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    3.5K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    C

    Coursera

    Test & Debug Java ML Pipelines

    Skills you'll gain: JUnit, MLOps (Machine Learning Operations), CI/CD, Continuous Integration, Jenkins, Test Automation, Unit Testing, DevOps, Test Case, Debugging, Code Coverage, Model Evaluation, Data Pipelines, Test Data

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    J

    Johns Hopkins University

    Summary Statistics in Public Health

    Skills you'll gain: Biostatistics, Histogram, Box Plots, Statistical Visualization, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Science and Research, Public Health, Sample Size Determination

    4.8
    Rating, 4.8 out of 5 stars
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    2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    C

    Coursera

    Optimize AI: Build Robust Ensemble Models

    Skills you'll gain: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    S

    Starweaver

    Threat Hunting Techniques

    Skills you'll gain: Cyber Threat Hunting, Splunk, Threat Detection, Jupyter, Anomaly Detection, Cybersecurity, Data Analysis, Data Science, Applied Machine Learning, Security Information and Event Management (SIEM), Pandas (Python Package), Interactive Data Visualization, Data Cleansing, Data Preprocessing, MLOps (Machine Learning Operations), Unsupervised Learning, Automation

    Intermediate · Course · 1 - 3 Months

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    S

    Stanford University

    Social and Economic Networks: Models and Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Sociology, Socioeconomics, Economics, Policy, and Social Studies, Game Theory, Mathematical Modeling, Statistical Modeling, Markov Model, Bayesian Statistics, Probability, Simulations

    4.8
    Rating, 4.8 out of 5 stars
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    759 reviews

    Advanced · Course · 1 - 3 Months

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    U

    University of Zurich

    An Intuitive Introduction to Probability

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Descriptive Statistics, Applied Mathematics, Risk Analysis, Finance

    4.8
    Rating, 4.8 out of 5 stars
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    1.9K reviews

    Beginner · Course · 1 - 3 Months

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    Y

    Yale University

    Understanding Medical Research: Your Facebook Friend is Wrong

    Skills you'll gain: Research Design, Statistical Methods, Descriptive Statistics, Data Literacy, Research Methodologies, Scientific Methods, Clinical Research, Research, Biostatistics, Sampling (Statistics), Medical Terminology

    4.9
    Rating, 4.9 out of 5 stars
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    2.2K reviews

    Beginner · Course · 1 - 3 Months

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    U

    Universidad Nacional Autónoma de México

    Estadística y probabilidad

    Skills you'll gain: Descriptive Statistics, Data Analysis, Correlation Analysis, Statistical Analysis, Data Presentation, Statistical Visualization, Probability, Histogram, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, Box Plots, Graphing, Scatter Plots

    4.6
    Rating, 4.6 out of 5 stars
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    1.7K reviews

    Beginner · Course · 1 - 4 Weeks

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    U

    University of London

    Probability and Statistics: To p or not to p?

    Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data Visualization, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Sampling (Statistics), Risk Modeling, Statistical Inference, Mathematical Modeling

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    D

    Duke University

    Inferential Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Analysis, Statistical Reporting, Data Analysis, R (Software), Statistical Methods, Statistics, Probability & Statistics, R Programming, Sampling (Statistics), Probability Distribution, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    The Power of Statistics

    Skills you'll gain: Sampling (Statistics), Statistical Hypothesis Testing, Descriptive Statistics, Advanced Analytics, Data Analysis, Probability Distribution, Statistics, Probability, A/B Testing, Statistical Analysis, Data Science, Statistical Inference, Statistical Programming, Jupyter, Python Programming, Technical Communication

    4.8
    Rating, 4.8 out of 5 stars
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    869 reviews

    Advanced · Course · 1 - 3 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©
1…101112…38

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

  • Data Analytics for Lean Six Sigma: University of Amsterdam
  • Test & Debug Java ML Pipelines: Coursera
  • Summary Statistics in Public Health : Johns Hopkins University
  • Optimize AI: Build Robust Ensemble Models: Coursera
  • Threat Hunting Techniques: Starweaver
  • Social and Economic Networks: Models and Analysis: Stanford University
  • An Intuitive Introduction to Probability: University of Zurich
  • Understanding Medical Research: Your Facebook Friend is Wrong: Yale University
  • Estadística y probabilidad: Universidad Nacional Autónoma de México
  • Probability and Statistics: To p or not to p?: University of London

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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