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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


  • C

    Coursera

    RStudio for Six Sigma - Basic Descriptive Statistics

    Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Statistical Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, R (Software), Box Plots, R Programming, Data Synthesis, Probability Distribution, Exploratory Data Analysis, Statistics, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    68 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Leeds

    Statistical Methods

    Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, R (Software), Data Collection, Statistical Inference, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Data Visualization Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Learn Python: 3

    Skills you'll gain: Object Oriented Programming (OOP), File I/O, Python Programming, Data Structures, Computer Programming, Scripting, Software Engineering, Performance Tuning, Web Development, Debugging, Random Forest Algorithm, Web Development Tools

    4.7
    Rating, 4.7 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    25 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

    EDUCBA

    Lean Six Sigma Green Belt: Apply & Master Skills

    Skills you'll gain: Lean Six Sigma, Lean Methodologies, Statistical Hypothesis Testing, Correlation Analysis, Process Improvement, Sampling (Statistics), Project Management, Data Literacy, Regression Analysis, Process Capability, Goal Setting, Statistical Analysis, Scatter Plots, Customer experience improvement, Quality Management, Microsoft Excel, Process Mapping, Risk Management, Root Cause Analysis

    5
    Rating, 5 out of 5 stars
    ·
    44 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Mining Methods

    Skills you'll gain: Data Mining, Classification Algorithms, Model Evaluation, Unsupervised Learning, Anomaly Detection, Supervised Learning, Big Data, Data Science, Decision Tree Learning, Unstructured Data, Text Mining, Machine Learning Algorithms, Statistical Machine Learning, Exploratory Data Analysis, Correlation Analysis, Algorithms, Artificial Neural Networks, Probability Distribution

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    69 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Kalman Filter Boot Camp (and State Estimation)

    Skills you'll gain: Linear Algebra, Matlab, Statistical Modeling, Simulations, Statistical Analysis, Time Series Analysis and Forecasting, Probability & Statistics, Numerical Analysis, Forecasting

    4.9
    Rating, 4.9 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Statistics and Data Analysis with Excel: Intermediate

    Skills you'll gain: Interactive Data Visualization, Pivot Tables And Charts, Data Visualization, Data Presentation, Statistical Inference, Correlation Analysis, Statistical Hypothesis Testing, Microsoft Excel, Excel Formulas, Statistics, Probability & Statistics, Data Analysis, Regression Analysis, Sampling (Statistics), Statistical Analysis, Descriptive Statistics, Forecasting

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Generalized Linear Models and Nonparametric Regression

    Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Statistical Methods, Regression Analysis, Predictive Modeling, Mathematical Modeling, Machine Learning, Logistic Regression, Statistical Inference, Model Evaluation, Probability Distribution, Linear Algebra, Calculus

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    20 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Honors Algebra 2

    Skills you'll gain: Algebra, Graphing, Applied Mathematics, Mathematical Modeling, Trigonometry, Probability, Advanced Mathematics, Data Analysis, Logical Reasoning, General Mathematics, Probability Distribution, Mathematical Theory & Analysis, Descriptive Statistics, Arithmetic, Statistics, Engineering Calculations, Calculus, Visualization (Computer Graphics), Geometry, Analytical Skills

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    T

    Tufts University

    Hypothesis Testing with Python and Excel

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Microsoft Excel, Quantitative Research, Probability & Statistics, Statistical Analysis, Analytical Skills, Sample Size Determination, Probability Distribution, Python Programming, Technical Communication

    4.2
    Rating, 4.2 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Robot Localization with Python and Particle Filters

    Skills you'll gain: Spatial Data Analysis, Robotics, Artificial Intelligence, Sampling (Statistics), Data Manipulation, Simulations, Python Programming, NumPy

    4.5
    Rating, 4.5 out of 5 stars
    ·
    25 reviews

    Advanced · Guided Project · Less Than 2 Hours

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…242526…38

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

  • RStudio for Six Sigma - Basic Descriptive Statistics: Coursera
  • Statistical Methods: University of Leeds
  • Learn Python: 3: Scrimba
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Lean Six Sigma Green Belt: Apply & Master Skills: EDUCBA
  • Data Mining Methods: University of Colorado Boulder
  • Kalman Filter Boot Camp (and State Estimation): University of Colorado System
  • Statistics and Data Analysis with Excel: Intermediate: Macquarie University
  • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
  • Honors Algebra 2: Johns Hopkins 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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