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  • Random Effects Model

Results for "random+effects+model"


  • C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Model Training, Predictive Analytics, R (Software), R Programming, Data Analysis, Statistical Modeling, Statistical Analysis, Data Wrangling, Data Cleansing, Data Manipulation, Classification Algorithms, Data Import/Export, Data Preprocessing, Data Presentation, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    31 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Regression Modeling for Marketers

    Skills you'll gain: Statistical Software, Marketing Analytics, Model Evaluation, Regression Analysis, Data-Driven Marketing, Statistical Modeling, Data Visualization, Statistical Methods, Statistical Analysis, Strategic Marketing, Market Analysis, Marketing, Predictive Analytics, Predictive Modeling, Logistic Regression, Customer Insights, Target Market, Statistical Hypothesis Testing, Variance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    EDUCBA

    Logistic Regression with SAS: Build & Evaluate Models

    Skills you'll gain: Logistic Regression, Feature Engineering, Model Evaluation, SAS (Software), Data Preprocessing, Predictive Modeling, Classification Algorithms, Statistical Modeling, Regression Analysis, Predictive Analytics, Data Wrangling, Statistical Methods, Data Transformation, Statistical Analysis, Model Optimization, Graphing

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    EDUCBA

    Predictive Models: Build, Explore Data & Deploy

    Skills you'll gain: Model Evaluation, Model Optimization, Data Preprocessing, Model Training, Model Deployment, Statistical Analysis, Performance Metric, Deposit Accounts

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Experimental Design Basics

    Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Statistical Analysis, Science and Research, Statistical Methods, Scientific Methods, Data Analysis Software, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Software, Mathematical Software, Design Strategies, Probability & Statistics, Descriptive Statistics, Variance Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    313 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Model Optimization, Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Fine-tuning, Applied Machine Learning, Machine Learning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Unreal Engine: Design Dynamic Particle Effects for Games

    Skills you'll gain: Unreal Engine, Animations, Animation and Game Design, 3D Assets, Video Game Development, Visualization (Computer Graphics), Computer Graphic Techniques, Computer Graphics

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Engineering Genetic Circuits: Modeling and Analysis

    Skills you'll gain: Biological Engineering, Bioinformatics, Simulation and Simulation Software, Mathematical Modeling, Mathematical Software, Biotechnology, Simulations, Process Modeling, Differential Equations, Biochemistry, Numerical Analysis, Molecular, Cellular, and Microbiology, Algorithms

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Arizona State University

    Modern Statistical Computing and Regression Modeling in R

    Skills you'll gain: Data Storage Technologies, Probability & Statistics, Statistics, Data Store, Mathematical Software, Data Storage, Data Access, Statistical Machine Learning, Database Software, Statistical Hypothesis Testing, Data Manipulation, Data Transformation, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing - Probability Models in Python

    Skills you'll gain: Encryption, Cryptography, Machine Learning Methods, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Icahn School of Medicine at Mount Sinai

    Dynamical Modeling Methods for Systems Biology

    Skills you'll gain: Matlab, Mathematical Software, Mathematical Modeling, Simulation and Simulation Software, Differential Equations, Simulations, Statistical Modeling, Biochemistry, Biology, Cell Biology, Electrical Systems

    4.7
    Rating, 4.7 out of 5 stars
    ·
    223 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Prompt Engineering for Vision Models

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Prompt Engineering Tools, Generative AI, Vision Transformer (ViT), Fine-tuning, Generative Model Architectures, Image Analysis, Computer Vision, AI Personalization

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Project · Less Than 2 Hours

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In summary, here are 10 of our most popular random+effects+model courses

  • Build and deploy a stroke prediction model using R: Coursera
  • Regression Modeling for Marketers: University of Colorado System
  • Logistic Regression with SAS: Build & Evaluate Models: EDUCBA
  • Predictive Models: Build, Explore Data & Deploy: EDUCBA
  • Experimental Design Basics: Arizona State University
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Unreal Engine: Design Dynamic Particle Effects for Games: EDUCBA
  • Engineering Genetic Circuits: Modeling and Analysis: University of Colorado Boulder
  • Modern Statistical Computing and Regression Modeling in R: Arizona State University
  • Natural Language Processing - Probability Models in Python: Packt

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