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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: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Amazon Elastic Compute Cloud, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

    4.3
    Rating, 4.3 out of 5 stars
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    6 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    U

    Universidad Austral

    Estadística aplicada a los negocios

    Skills you'll gain: Regression Analysis, Statistical Inference, Descriptive Statistics, Risk Analysis, Business Risk Management, Business Analytics, Statistics, Sampling (Statistics), Microsoft Excel, Data Analysis, Probability, Statistical Analysis, Data-Driven Decision-Making, Probability Distribution, Statistical Modeling, Data Science

    4.6
    Rating, 4.6 out of 5 stars
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    769 reviews

    Beginner · Course · 1 - 4 Weeks

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    T

    The Chinese University of Hong Kong

    Information Theory

    Skills you'll gain: Communication Systems, Digital Communications, Theoretical Computer Science, Telecommunications, Informatics, Probability, Probability Distribution, Algorithms, General Mathematics

    4.7
    Rating, 4.7 out of 5 stars
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    164 reviews

    Mixed · Course · 3 - 6 Months

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    Pontificia Universidad Católica de Chile

    Análisis de Sistemas de Transporte

    Skills you'll gain: Transportation Operations, Network Analysis, Operations Research, Systems Analysis, Analysis, Demand Planning, Mathematical Modeling, Markov Model, Economic Development, Cost Benefit Analysis, Market Dynamics, Economics, Statistical Modeling, Probability Distribution, Decision Making

    4.7
    Rating, 4.7 out of 5 stars
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    780 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Correlation Analysis, Probability Distribution, Python Programming, Data Visualization Software

    4.4
    Rating, 4.4 out of 5 stars
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    713 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, R (Software), Probability, Statistics, Probability & Statistics, Statistical Methods, Bayesian Statistics, Social Network Analysis, Applied Mathematics, Probability Distribution, Simulations, Data Science

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Mathematical Biostatistics Boot Camp 2

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

    4.3
    Rating, 4.3 out of 5 stars
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    136 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Framework for Data Collection and Analysis

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

    4.2
    Rating, 4.2 out of 5 stars
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    773 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    S

    SAS

    Machine Learning Using SAS Viya

    Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Statistical Machine Learning, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Data Cleansing, Predictive Analytics, No-Code Development, Statistical Programming, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
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    102 reviews

    Intermediate · Course · 1 - 3 Months

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    C

    Caltech

    Pricing Options with Mathematical Models

    Skills you'll gain: Derivatives, Financial Market, Finance, Risk Modeling, Mathematical Modeling, Financial Modeling, Risk Management, Probability, Advanced Mathematics, Differential Equations, Applied Mathematics, Probability Distribution, Calculus

    4.7
    Rating, 4.7 out of 5 stars
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    38 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    G

    Google

    Google Data Analytics

    Skills you'll gain: Data Presentation, Data Storytelling, Presentations, Data Cleansing, Data Visualization, Rmarkdown, Data-Driven Decision-Making, Data Validation, Data Ethics, Analytical Skills, Interactive Data Visualization, Dashboard, Spreadsheet Software, Ggplot2, Google Sheets, SQL, Data Collection, Data Analysis, Sampling (Statistics), Google Analytics

    4.5
    Rating, 4.5 out of 5 stars
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    328 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Preview
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    J

    Johns Hopkins University

    Introduction to Uncertainty Quantification

    Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis

    5
    Rating, 5 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite: Whizlabs
  • Estadística aplicada a los negocios: Universidad Austral
  • Information Theory: The Chinese University of Hong Kong
  • Análisis de Sistemas de Transporte: Pontificia Universidad Católica de Chile
  • Fitting Statistical Models to Data with Python: University of Michigan
  • Statistical Methods for Computer Science: Johns Hopkins University
  • Mathematical Biostatistics Boot Camp 2: Johns Hopkins University
  • Framework for Data Collection and Analysis: University of Maryland, College Park
  • Machine Learning Using SAS Viya: SAS
  • Pricing Options with Mathematical Models: Caltech

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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