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  • Random Forests

Results for "random forests"


  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Modeling for Data Science Applications

    Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Research Design, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Mathematical Modeling, Probability & Statistics, Data Science, Quantitative Research, Machine Learning, Classification And Regression Tree (CART), Linear Algebra, Probability Distribution

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    ·
    54 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Data Analysis and Hypothesis Testing

    Skills you'll gain: Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Data Visualization Software, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Quality, Data Manipulation, Python Programming, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    127 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    The Total Data Quality Framework

    Skills you'll gain: Data Quality, Data Cleansing, Data Collection, Data Validation, Data Analysis, Data Processing, Threat Detection, Data Access, Sampling (Statistics)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    47 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Dealing With Missing Data

    Skills you'll gain: Sampling (Statistics), Data Cleansing, Statistical Software, Data Transformation, Data Quality, Statistical Analysis, STATA (Software), Statistical Methods, R (Software), Regression Analysis, Statistical Inference, Data Analysis

    3.8
    Rating, 3.8 out of 5 stars
    ·
    138 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Financial Risk Management with R

    Skills you'll gain: Risk Modeling, Financial Market, Risk Management, Market Data, Risk Analysis, Financial Trading, Probability Distribution, R (Software), Financial Data, R Programming, Financial Modeling, Portfolio Management, Statistical Programming, Securities (Finance), Time Series Analysis and Forecasting, Securities Trading, Estimation, Statistical Modeling

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    253 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    Methods for Quantitative Research in Psychology

    Skills you'll gain: Quantitative Research, Scientific Methods, Research Design, Surveys, Research, Research and Design, Qualitative Research, Correlation Analysis, Data Collection, Data Analysis, Psychology, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    181 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of London

    Doing Economics: Measuring Climate Change

    Skills you'll gain: Microsoft Excel, Environmental Policy, Data Analysis, Data Visualization, Descriptive Statistics, Climate Change Programs, Correlation Analysis, Policy Analysis, Scatter Plots, Statistics, Environmental Science, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    52 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

    4.6
    Rating, 4.6 out of 5 stars
    ·
    103 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data Collection: Online, Telephone and Face-to-face

    Skills you'll gain: Surveys, Interviewing Skills, Data Collection, Sampling (Statistics), Unstructured Data, Research Methodologies, Qualitative Research, Data Validation, Data Quality, Text Mining

    4.6
    Rating, 4.6 out of 5 stars
    ·
    349 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    The Measure Phase for the 6 σ Black Belt

    Skills you'll gain: Six Sigma Methodology, Lean Methodologies, Process Capability, Lean Six Sigma, Data Collection, Sampling (Statistics), Probability Distribution, Process Analysis, Descriptive Statistics, Quality Improvement, Statistics, Probability, Systems Of Measurement, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    57 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    How Diffusion Models Work

    Skills you'll gain: Generative AI, Generative Model Architectures, Jupyter, Prompt Engineering, Sampling (Statistics), Artificial Neural Networks, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    273 reviews

    Intermediate · Project · Less Than 2 Hours

Searches related to random forests

neural networks and random forests
r: design & evaluate random forests for attrition
python: implement & evaluate random forests for ml
1…161718…35

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

  • Statistical Modeling for Data Science Applications: University of Colorado Boulder
  • AI Workflow: Data Analysis and Hypothesis Testing: IBM
  • The Total Data Quality Framework: University of Michigan
  • Dealing With Missing Data: University of Maryland, College Park
  • Financial Risk Management with R: Duke University
  • Methods for Quantitative Research in Psychology: American Psychological Association
  • Doing Economics: Measuring Climate Change: University of London
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • Data Collection: Online, Telephone and Face-to-face: University of Michigan

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