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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

  • 2

    28DIGITAL

    Approximation Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Theoretical Computer Science, Operations Research, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    33 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: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to AI: Key Concepts and Applications

    Skills you'll gain: AI Enablement, Model Evaluation, Performance Metric, Artificial Intelligence and Machine Learning (AI/ML), Strategic Leadership, Responsible AI, Machine Learning Algorithms, Data Quality, Model Deployment, Machine Learning, Algorithms, Classification Algorithms, Artificial Neural Networks, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements, Data Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Resampling, Selection and Splines

    Skills you'll gain: Data Science, Model Evaluation, Statistical Machine Learning, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Sampling (Statistics), Statistical Methods, Regression Analysis, Statistical Inference, Statistics, Applied Mathematics, Logistic Regression, Probability Distribution

    Build toward a degree

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Fundamental Tools of Data Wrangling

    Skills you'll gain: Pandas (Python Package), Data Wrangling, NumPy, Data Visualization, Data Cleansing, Data Structures, Data Analysis, Data Manipulation, Data Preprocessing, Data Transformation, Exploratory Data Analysis, Statistical Analysis, Jupyter, Programming Principles, Python Programming, Scripting

    4.5
    Rating, 4.5 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    37 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Discrete-Time Markov Chains and Monte Carlo Methods

    Skills you'll gain: Mathematical Modeling, Statistical Modeling, Machine Learning Algorithms, Generative AI Agents

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    OpenAI: Consistent Response Strategies

    Skills you'll gain: Prompt Engineering, OpenAI, Large Language Modeling, ChatGPT, LLM Application, Generative AI, Technical Communication, AI Personalization, Context Management, Transfer Learning, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    Managing Identity Services using AD DS and Microsoft Entra

    Skills you'll gain: Group Policy, Azure Active Directory, Active Directory, Microsoft Azure, Windows Servers, Hybrid Cloud Computing, Authentications, Identity and Access Management, Infrastructure As A Service (IaaS), Cloud-Based Integration, User Accounts, Multi-Factor Authentication, System Configuration

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Statistics and Calculus Methods for Data Analysis

    Skills you'll gain: Statistical Analysis, Predictive Modeling, Integral Calculus, Data Analysis, Statistical Modeling, Statistics, Calculus, Probability Distribution, Probability & Statistics, Mathematical Modeling, Data Science, Derivatives, Mathematics and Mathematical Modeling, Applied Mathematics, Machine Learning, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    B

    Ball State University

    Introduction to Data Science

    Skills you'll gain: Data Ethics, Data Collection, Probability & Statistics, Statistics, Sampling (Statistics), Data Science, R Programming, Statistical Methods, Data Structures, Data Analysis, Data Capture, Information Privacy, Tidyverse (R Package), Data Quality, Informed Consent, Social Impact, Ethical Standards And Conduct, Data Validation, Algorithms, Big Data

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Beginner · 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…252627…38

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

  • RStudio for Six Sigma - Basic Descriptive Statistics: Coursera
  • Approximation Algorithms: 28DIGITAL
  • Statistics and Data Analysis with Excel: Intermediate: Macquarie University
  • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
  • Resampling, Selection and Splines: University of Colorado Boulder
  • Fundamental Tools of Data Wrangling: University of Colorado Boulder
  • Using probability distributions for real world problems in R: Coursera
  • Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
  • OpenAI: Consistent Response Strategies: Coursera
  • Managing Identity Services using AD DS and Microsoft Entra: SkillUp

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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