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  • Mixed Model

Results for "mixed model"


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

    University of Michigan

    Network Modeling and Analysis in Python

    Skills you'll gain: Social Network Analysis, Data Analysis, Python Programming, Jupyter, Probability Distribution

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Regression Modeling Fundamentals

    Skills you'll gain: Predictive Modeling, Predictive Analytics, SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Data Analysis, Statistical Methods, Probability & Statistics, Statistical Hypothesis Testing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Predictive Modeling, Model Fitting, and Regression Analysis

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Classification And Regression Tree (CART), Regression Analysis, Decision Tree Learning, Statistical Modeling, Supervised Learning, Data Analysis, Forecasting, Machine Learning, Unsupervised Learning, Statistical Analysis, Time Series Analysis and Forecasting

    4.5
    Rating, 4.5 out of 5 stars
    ·
    73 reviews

    Intermediate · 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 Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Predictive Analytics, Feature Engineering, Machine Learning, Statistical Methods, Python Programming, Data Manipulation, Algorithms, Performance Testing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    H

    H2O.ai

    H2O ai Large Language Models (LLMs) - Level 1

    Skills you'll gain: Large Language Modeling, LLM Application, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, Natural Language Processing

    3.2
    Rating, 3.2 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Linear Regression Modeling for Health Data

    Skills you'll gain: Statistical Modeling, Regression Analysis, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing, R Programming, Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

  • 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
    ·
    713 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Quantifying Relationships with Regression Models

    Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Inference, Data Analysis, Statistical Modeling, Statistical Analysis, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Predictive Modeling with Logistic Regression using SAS

    Skills you'll gain: SAS (Software), Predictive Modeling, Statistical Modeling, Big Data, Regression Analysis, Data Analysis Software, Advanced Analytics, Feature Engineering, Performance Analysis, Performance Measurement, Statistical Analysis, Data Manipulation, Data Cleansing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Creating Multi Task Models With Keras

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Machine Learning, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    78 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular mixed model courses

  • Network Modeling and Analysis in Python: University of Michigan
  • Regression Modeling Fundamentals: SAS
  • Predictive Modeling, Model Fitting, and Regression Analysis: University of California, Irvine
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • Machine Learning: Regression: University of Washington
  • H2O ai Large Language Models (LLMs) - Level 1: H2O.ai
  • Linear Regression Modeling for Health Data: University of Michigan
  • Fitting Statistical Models to Data with Python: University of Michigan
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Quantifying Relationships with Regression Models: Johns Hopkins University

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